{"id":20,"date":"2024-07-04T14:09:38","date_gmt":"2024-07-04T12:09:38","guid":{"rendered":"https:\/\/odas.ujep.cz\/?page_id=20"},"modified":"2025-01-09T12:35:57","modified_gmt":"2025-01-09T11:35:57","slug":"pro-studenty","status":"publish","type":"page","link":"https:\/\/odas.ujep.cz\/en\/pro-studenty\/","title":{"rendered":"For students"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Na t\u00e9to str\u00e1nce naleznete p\u0159ehled aktu\u00e1ln\u00edch t\u00e9mat v\u00fdzkumn\u00fdch prac\u00ed, kter\u00e9 nab\u00edz\u00edme student\u016fm v r\u00e1mci na\u0161ich v\u00fdzkumn\u00fdch aktivit. T\u00e9mata je mo\u017en\u00e1 realizovat ve form\u011b semin\u00e1rn\u00edch prac\u00ed na specializovan\u00e9 semin\u00e1\u0159e nebo ve form\u011b z\u00e1v\u011bre\u010dn\u00e9 kvalifika\u010dn\u00ed pr\u00e1ce. Pokud v\u00e1s n\u011bkter\u00e9 z t\u00e9mat zaujme nebo m\u00e1te vlastn\u00ed n\u00e1pad na v\u00fdzkum, nev\u00e1hejte n\u00e1s kontaktovat.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Available Research Topics<\/h2>\n\n\n\n<h4 class=\"wp-block-heading\">Po\u010d\u00edta\u010dov\u00e9 zpracov\u00e1n\u00ed elektromyografick\u00e9ho sign\u00e1lu (doc.&nbsp;RNDr. Zby\u0161ek Posel, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00edlem pr\u00e1ce je vyu\u017e\u00edt metody zpracov\u00e1n\u00ed elektromyografick\u00e9ho sign\u00e1lu (klasick\u00e9 dekompozi\u010dn\u00ed metody nebo metody zalo\u017een\u00e9 na neuronov\u00fdch s\u00edt\u00edch) pro rekonstrukci aktivity jednotliv\u00fdch motorick\u00fdch neuron\u016f z m\u011b\u0159en\u00ed pomoc\u00ed povrchov\u00fdch elektrod a poskytnout tak l\u00e9ka\u0159\u016fm a fyzioterapeut\u016fm, detailn\u00ed vhled do funkce vy\u0161et\u0159ovan\u00e9ho svalu.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0158e\u0161en\u00e9 pr\u00e1ce:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Aplikace rekurentn\u00edch neuronov\u00fdch s\u00edt\u00ed pro zpracov\u00e1n\u00ed elektromyografick\u00e9ho sign\u00e1lu (Bc. Daniel Moudr\u00fd)<\/li>\n\n\n\n<li>Aplikace konvolu\u010dn\u00edch neuronov\u00fdch s\u00edt\u00ed pro zpracov\u00e1n\u00ed elektromyografick\u00e9ho sign\u00e1lu (Bc. Ji\u0159\u00ed Bro\u017e)<\/li>\n\n\n\n<li>Po\u010d\u00edta\u010dov\u00e1 dekompozice povrchov\u00e9ho elektromyografick\u00e9ho sign\u00e1lu (Barbora Ani)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Segmentace a klasifikace alveol\u00e1rn\u00edch bun\u011bk na sn\u00edmc\u00edch z flexibiln\u00ed bronchoskopie (doc.&nbsp;RNDr. Zby\u0161ek Posel, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00edlem pr\u00e1ce je jednak otestovat metody a p\u0159\u00edstupy pro segmentaci alveol\u00e1rn\u00edch bun\u011bk ze sn\u00edmk\u016f po\u0159\u00edzen\u00fdch p\u0159i flexibiln\u00ed bronchoskopii a n\u00e1sledn\u011b i metody pro jejich klasifikaci do jednotliv\u00fdch skupin tak, aby bylo mo\u017en\u00e9 cel\u00fd proces vy\u0161et\u0159en\u00ed co nejl\u00e9pe automatizovat. Testovan\u00e9 metody budou zejm\u00e9na z&nbsp;oblasti konvolu\u010dn\u00edch neuronov\u00fdch s\u00edt\u00ed a segmenta\u010dn\u00edch algoritm\u016f typu Watershed. V&nbsp;r\u00e1mci pr\u00e1ce budou testov\u00e1ny jednotliv\u00e9 kroky od p\u0159edzpracov\u00e1n\u00ed sn\u00edmku (v\u010detn\u011b jeho po\u0159\u00edzen\u00ed), p\u0159es segmentaci, a\u017e po jeho klasifikaci.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0158e\u0161en\u00e9 pr\u00e1ce:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Segmentace bun\u011bk ze sn\u00edmk\u016f po\u0159\u00edzen\u00fdch fluorescen\u010dn\u00edm mikroskopem (Petr Fridrich)<\/li>\n\n\n\n<li>Segmentace bun\u011bk na sn\u00edmc\u00edch z mikroskopu (Bc. Petr Fridrich)<\/li>\n\n\n\n<li>Segmentace bun\u011bk na sn\u00edmc\u00edch z mikroskopu za pou\u017eit\u00ed neuronov\u00fdch s\u00edt\u00ed (Bc. Daniel Zavi\u010d\u00e1r)<\/li>\n\n\n\n<li>Vytv\u00e1\u0159en\u00ed bounding box\u016f ve sn\u00edmc\u00edch bun\u011bk po\u0159\u00edzen\u00fdch optick\u00fdm mikroskopem (Petr Kotlan)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Detekce a odstran\u011bn\u00ed artefakt\u016f ve fyziologick\u00fdch sign\u00e1lech m\u011b\u0159en\u00fdch p\u0159i traumatick\u00e9m poran\u011bn\u00ed mozku (doc.&nbsp;RNDr. Zby\u0161ek Posel, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00edlem pr\u00e1ce je navrhnout a otestovat p\u0159\u00edstup pro v\u010dasnou detekci artefakt\u016f ve fyziologick\u00fdch sign\u00e1lech m\u011b\u0159en\u00fdch p\u0159i traumatick\u00e9m poran\u011bn\u00ed mozku a pro jejich odstran\u011bn\u00ed p\u0159ed v\u00fdpo\u010dtem sledovan\u00fdch veli\u010din. Jedn\u00e1 se zejm\u00e9na o sign\u00e1ly krevn\u00edho a nitrolebn\u00edho tlaku, kter\u00e9 se vyu\u017e\u00edvaj\u00ed pro v\u00fdpo\u010det indik\u00e1toru, tzv. cerebr\u00e1ln\u00edho perfuzn\u00edho tlaku. Pro detekci a odstran\u011bn\u00ed artefakt\u016f budou testov\u00e1ny zejm\u00e9na klasick\u00e9 metody zpracov\u00e1n\u00ed sign\u00e1lu, ale i nap\u0159\u00edklad konvolu\u010dn\u00ed neuronov\u00e9 s\u00edt\u011b a predik\u010dn\u00ed metody pro v\u00fdboje \u010dasov\u00fdch \u0159ad.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0158e\u0161en\u00e9 pr\u00e1ce:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Po\u010d\u00edta\u010dov\u00e1 anal\u00fdza biologick\u00fdch sign\u00e1l\u016f (Vojt\u011bch Str\u00e1nsk\u00fd)<\/li>\n\n\n\n<li>Detekce ud\u00e1lost\u00ed v EKG sign\u00e1lu s vyu\u017eit\u00edm vlnkov\u00e9 transformace (Martin \u0160ev\u010d\u00edk)<\/li>\n\n\n\n<li>V\u010dasn\u00e1 detekce artefakt\u016f ve fyziologick\u00fdch sign\u00e1lech (Saliha Afzaal)<\/li>\n\n\n\n<li>Automatick\u00e1 detekce anom\u00e1li\u00ed a artefakt\u016f v&nbsp;sign\u00e1lech nitrolebn\u00edho a arteri\u00e1ln\u00edho tlaku (Jakub Kopeck\u00fd)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Aplikace segmentace obrazu ve zdravotnictv\u00ed (RNDr. Petr Kubera, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00edlem pr\u00e1ce je prov\u00e9st re\u0161er\u0161i existuj\u00edc\u00edch model\u016f pro segmentaci obrazu nap\u0159. model\u016f U-Net, DeepLabV3+, BESNet, ResUNet , YOLO pro data z\u00edskan\u00e1 pomoc\u00ed RTG, MRI. Nab\u00edz\u00ed se mo\u017enost zkoumat vliv konkr\u00e9tn\u00edho preprocesingu na dan\u00fd model, d\u00e1le pak porovn\u00e1n\u00ed v\u00fd\u0161euveden\u00fdch model\u016f mezi sebou v r\u016fzn\u00fdch metrik\u00e1ch nap\u0159. S\u00f8rensen\u2013Dice coefficient, Jaccard index apod. Modely nen\u00ed nutn\u00e9 programovat, bude pou\u017eita st\u00e1vaj\u00edc\u00ed voln\u011b dostupn\u00e1 implementace.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Zpracov\u00e1n\u00ed l\u00e9ka\u0159sk\u00fdch zpr\u00e1v<\/strong> (RNDr. Ji\u0159\u00ed \u0160kv\u00e1ra, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Vyu\u017eit\u00ed metod textov\u00e9 anal\u00fdzy pro zji\u0161t\u011bn\u00ed sentimentu l\u00e9ka\u0159e z l\u00e9ka\u0159sk\u00e9 zpr\u00e1vy pro posouzen\u00ed, zda se jedn\u00e1 o pozitivn\u00ed \u010di negativn\u00ed n\u00e1lez. D\u00e1le je d\u016fraz kladen na ov\u011b\u0159en\u00ed mo\u017enosti extrakce a parametr\u016f pacienta z l\u00e9ka\u0159sk\u00e9 zpr\u00e1vy vyu\u017eit\u00edm s\u00e9mantick\u00e9 anal\u00fdzy \u010di jazykov\u00fdch model\u016f. Pro pr\u00e1ci budou vyu\u017eita data dostupn\u00e1 ze serveru kaggle.com. kter\u00e1 mimo samotn\u00fdch l\u00e9ka\u0159sk\u00fdch zpr\u00e1v obsahuje tak\u00e9 rentgenov\u00e9 sn\u00edmky pacient\u016f.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Anal\u00fdza \u0161umu v rentgenov\u00fdch sn\u00edmc\u00edch<\/strong> (RNDr. Ji\u0159\u00ed \u0160kv\u00e1ra, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">P\u0159i zpracov\u00e1n\u00ed obrazu b\u00fdv\u00e1 prvn\u00edm krokem obvykle potla\u010den\u00ed \u0161umu zvolen\u00e9ho sn\u00edmku. V p\u0159\u00edpad\u011b rentgenov\u00fdch sn\u00edmk\u016f se projevuj\u00ed \u0161umy spojen\u00e9 s metodou sn\u00edm\u00e1n\u00ed, kter\u00e9 jsou n\u00e1ro\u010dn\u00e9 na potla\u010den\u00ed. Nav\u00edc je vzhledem k povaze sn\u00edmk\u016f n\u00e1ro\u010dn\u00e9 vizu\u00e1ln\u00ed kontrolou potvrdit, zda do\u0161lo k dostate\u010dn\u00e9mu potla\u010den\u00ed \u0161umu. C\u00edlem pr\u00e1ce by tedy m\u011bla b\u00fdt explora\u010dn\u00ed anal\u00fdza dostupn\u00fdch rentgenov\u00fdch sn\u00edmk\u016f s d\u016frazem na charakterizaci jednotliv\u00fdch typ\u016f \u0161umu a ur\u010den\u00ed jejich procentu\u00e1ln\u00edho zastoupen\u00ed. Takov\u00e1 charakteristika pak m\u016f\u017ee poslou\u017eit k lep\u0161\u00edmu tr\u00e9nov\u00e1n\u00ed model\u016f segmentace obrazu.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>V\u00fdvoj n\u00e1stroje pro p\u0159evod mezi form\u00e1ty vybran\u00fdch simula\u010dn\u00edch bal\u00ed\u010dk\u016f<\/strong> (RNDr. Ji\u0159\u00ed \u0160kv\u00e1ra, Ph.D.)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">V oblasti po\u010d\u00edta\u010dov\u00fdch simulac\u00ed molekul\u00e1rn\u00edch syst\u00e9m\u016f existuje cel\u00e1 \u0159ada simula\u010dn\u00edch bal\u00ed\u010dk\u016f, kter\u00e9 umo\u017e\u0148uj\u00ed relativn\u011b snadno efektivn\u011b modelovat chov\u00e1n\u00ed molekul v chemick\u00fdch procesech jako je nap\u0159\u00edklad \u010di\u0161t\u011bn\u00ed vzduchu, separace l\u00e9\u010div a podobn\u011b. Chov\u00e1n\u00ed jednotliv\u00fdch molekul je v t\u011bchto n\u00e1stroj\u00edch pops\u00e1no sadou parametr\u016f popisuj\u00edc\u00ed interakce molekuly s jej\u00edm okol\u00edm (obvykle naz\u00fdv\u00e1no jako forcefield). P\u0159i spolupr\u00e1ci r\u016fzn\u00fdch skupin v\u0161ak \u010dasto doch\u00e1z\u00ed k tomu, \u017ee se pou\u017e\u00edvaj\u00ed r\u016fzn\u00e9 simula\u010dn\u00ed bal\u00ed\u010dky, jejich\u017e soubory s interak\u010dn\u00edmi parametry jsou navz\u00e1jem nekompatibiln\u00ed. C\u00edlem t\u00e9to pr\u00e1ce je navrhnout intuitivn\u00ed n\u00e1stroj ve form\u011b webov\u00e9 slu\u017eby, kter\u00fd bude schopen p\u0159ev\u00e1d\u011bt vstupn\u00ed form\u00e1ty mezi jednotliv\u00fdmi bal\u00ed\u010dky. V p\u0159\u00edpad\u011b, \u017ee n\u011bkter\u00e9 parametry budou nekompatibiln\u00ed, m\u011bl by n\u00e1stroj um\u011bt pomoc\u00ed numerick\u00fdch metod prov\u00e9st p\u0159epo\u010det z jednoho typu interakce na jin\u00fd.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Vyu\u017eit\u00ed interaktivn\u00edch technologi\u00ed pro terapeutick\u00e9 intervence (Ing. Mgr. Pavel Ber\u00e1nek)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00fdzkum se zam\u011b\u0159uje na vyu\u017eit\u00ed interaktivn\u00edch technologi\u00ed, zejm\u00e9na videohern\u00edch engin\u016f a AI agent\u016f, p\u0159i v\u00fdvoji aplikac\u00ed podporuj\u00edc\u00edch terapeutick\u00e9 intervence u pacient\u016f s r\u016fznorod\u00fdmi obt\u00ed\u017eemi. P\u0159\u00edkladem praktick\u00e9 aplikace m\u016f\u017ee b\u00fdt vyu\u017eit\u00ed virtu\u00e1ln\u00ed reality pro tr\u00e9nink prostorov\u00e9 navigace u pacient\u016f s Alzheimerovou chorobou nebo vytvo\u0159en\u00ed animovan\u00e9ho chatbota vyu\u017e\u00edvaj\u00edc\u00edho roz\u0161\u00ed\u0159enou realitu a velk\u00e9 jazykov\u00e9 modely k podpo\u0159e rozvoje komunika\u010dn\u00edch a pam\u011b\u0165ov\u00fdch dovednost\u00ed. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00fdzkum kombinuje modern\u00ed n\u00e1stroje jako Blender, Unity Engine, Unreal Engine, a programovac\u00ed jazyky C# a Python, p\u0159i\u010dem\u017e kl\u00ed\u010dovou roli hraj\u00ed transform\u00e1torov\u00e9 modely pro zaji\u0161t\u011bn\u00ed p\u0159irozen\u00e9 interakce a personalizace terapeutick\u00fdch sc\u00e9n\u00e1\u0159\u016f. T\u00e9mata jsou vhodn\u00e1 pro studenty, kte\u0159\u00ed cht\u011bj\u00ed vytv\u00e1\u0159et slo\u017eit\u011bj\u0161\u00ed aplikace s optimalizovan\u00fdm u\u017eivatelsk\u00fdm pro\u017eitkem (UX) na m\u00edru pro pacienty.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0158e\u0161en\u00e9 pr\u00e1ce:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>V\u00fdvoj simul\u00e1toru hororov\u00e9ho z\u00e1\u017eitku ve virtu\u00e1ln\u00ed realit\u011b (Michaela Kadl\u010dkov\u00e1)<\/li>\n\n\n\n<li>VR Therapy: platforma pro tr\u00e9nink kognitivn\u00edch dovednost\u00ed pacient\u016f posti\u017een\u00fdch Alzheimerovou nemoc\u00ed (Bc. Anna Trejdlov\u00e1)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Vyu\u017eit\u00ed metod strojov\u00e9ho u\u010den\u00ed pro v\u00fdzkum f\u00e1zov\u00e9ho chov\u00e1n\u00ed kopolymern\u00edch syst\u00e9m\u016f (Ing. Mgr. Pavel Ber\u00e1nek)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Kopolymery p\u0159edstavuj\u00ed modern\u00ed, na m\u00edru p\u0159ipraviteln\u00e9 funk\u010dn\u00ed nanomateri\u00e1ly s \u0161irok\u00fdm potenci\u00e1lem vyu\u017eit\u00ed ve zdravotnictv\u00ed (nosi\u010de l\u00e9\u010div), chemick\u00e9 synt\u00e9ze (katalyz\u00e1tory), ochran\u011b \u017eivotn\u00edho prost\u0159ed\u00ed (filtrace tekutin) a elektronice (tenkovrstv\u00e9 tranzistory). Tyto materi\u00e1ly se skl\u00e1daj\u00ed z molekul\u00e1rn\u00edch \u0159et\u011bzc\u016f s r\u016fznorod\u00fdm slo\u017een\u00edm (diblokov\u00e9, triblokov\u00e9, gradientn\u00ed, taperovan\u00e9 kopolymery), rozmanit\u00fdmi architekturami (blokov\u00e9, hv\u011bzdicov\u00e9, kart\u00e1\u010dov\u00e9) a nach\u00e1zej\u00ed se v r\u016fzn\u00fdch prost\u0159ed\u00edch (rozpou\u0161t\u011bdlo, objemov\u00e1 f\u00e1ze, 2D povrch). Jejich vlastnosti, jako je tuhost jednotliv\u00fdch blok\u016f nebo polydisperzita, ur\u010duj\u00ed jejich f\u00e1zov\u00e9 chov\u00e1n\u00ed a tvorbu specifick\u00fdch nanostruktur.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Simulace v\u00fdvoje t\u011bchto nanostruktur se \u010dasto pot\u00fdk\u00e1 s omezen\u00edmi, a\u0165 u\u017e jde o \u010dasovou n\u00e1ro\u010dnost nebo p\u0159esnost, kter\u00e1 z\u00e1vis\u00ed na zvolen\u00e9m modelu m\u011b\u0159\u00edtkov\u00e9 \u0161k\u00e1ly (molekul\u00e1rn\u00ed dynamika, disipativn\u00ed \u010d\u00e1sticov\u00e1 dynamika, spojit\u00e9 modely). C\u00edlem tohoto v\u00fdzkumu je vyu\u017e\u00edt pokro\u010dil\u00e9 metody strojov\u00e9ho u\u010den\u00ed k efektivn\u00ed anal\u00fdze a predikci chov\u00e1n\u00ed t\u011bchto materi\u00e1l\u016f. To zahrnuje p\u0159edb\u011b\u017enou klasifikaci potenci\u00e1ln\u00edch nanostruktur na z\u00e1klad\u011b pr\u016fb\u011b\u017en\u00fdch fyzik\u00e1ln\u00edch dat, shlukov\u00e1n\u00ed vlastnost\u00ed nanostruktur podle jejich podobnosti nebo generov\u00e1n\u00ed um\u011bl\u00fdch dat, kter\u00e1 realisticky reprezentuj\u00ed v\u00fdvoj struktur v simulac\u00edch. T\u00edmto p\u0159\u00edstupem lze z\u00e1sadn\u011b urychlit a zefektivnit v\u00fdzkum kopolymer\u016f, \u010d\u00edm\u017e se otev\u00edraj\u00ed nov\u00e9 mo\u017enosti pro jejich praktick\u00e9 vyu\u017eit\u00ed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hlavn\u00edmi n\u00e1stroji pro pr\u00e1ci jsou simula\u010dn\u00ed bal\u00edk LAMMPS a klastr grafick\u00fdch karet pro v\u00fdpo\u010dty. Programovac\u00ed jazyk m\u016f\u017ee b\u00fdt libovoln\u00fd. Tato pr\u00e1ce je ide\u00e1ln\u00ed pro studenty se z\u00e1jmem o v\u00fdzkum inovativn\u00edch t\u00e9mat v oblasti fyziky nanomateri\u00e1l\u016f, kte\u0159\u00ed cht\u011bj\u00ed z\u00edskat zku\u0161enosti s modern\u00edmi simula\u010dn\u00edmi technikami, aplikac\u00ed metod strojov\u00e9ho u\u010den\u00ed a v\u00fdpo\u010detn\u00ed fyzikou. V\u00fdzkum nab\u00edz\u00ed p\u0159\u00edle\u017eitost p\u0159isp\u011bt k pokroku v oblasti funk\u010dn\u00edch nanostruktur s \u0161irok\u00fdm praktick\u00fdm uplatn\u011bn\u00edm.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0158e\u0161en\u00e9 pr\u00e1ce:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Predikce vzniku stabiln\u00ed a metastabiln\u00ed semiflexibiln\u00ed diblokov\u00e9 polymern\u00ed nanostruktury (David Hol\u00fd)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Modelov\u00e1n\u00ed a simulace mechanism\u016f v\u00fdvoje rakoviny a vlivu terapeutick\u00e9 intervence (Ing. Mgr. Pavel Ber\u00e1nek)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">V roce 2022 zem\u0159elo na rakovinu p\u0159ibli\u017en\u011b 10 milion\u016f lid\u00ed a u dal\u0161\u00edch 20 milion\u016f byla tato nemoc diagnostikov\u00e1na. Rakovina p\u0159edstavuje jednu z nejz\u00e1va\u017en\u011bj\u0161\u00edch nemoc\u00ed sou\u010dasnosti, p\u0159i\u010dem\u017e po\u010det p\u0159\u00edpad\u016f st\u00e1le nar\u016fst\u00e1. Mechanismy jej\u00edho v\u00fdvoje v\u0161ak z\u016fst\u00e1vaj\u00ed z velk\u00e9 \u010d\u00e1sti neprozkouman\u00e9. Proto vznikl relativn\u011b nov\u00fd v\u011bdn\u00ed obor v\u00fdpo\u010detn\u00ed onkologie, jeho\u017e c\u00edlem je vytv\u00e1\u0159et a simulovat modely r\u016fstu rakoviny a jejich interakce s okoln\u00edm prost\u0159ed\u00edm.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tento obor ji\u017e dos\u00e1hl v\u00fdznamn\u00e9ho pokroku \u2013 nap\u0159\u00edklad simulac\u00ed vlivu imunoterapie na zastaven\u00ed rakovinov\u00e9ho bujen\u00ed pomoc\u00ed diskr\u00e9tn\u00edch model\u016f, jako jsou bun\u011b\u010dn\u00e9 automaty a agentov\u00e9 syst\u00e9my. P\u0159esto v\u0161ak z\u016fst\u00e1v\u00e1 mnoho neprob\u00e1dan\u00fdch oblast\u00ed a p\u0159\u00edle\u017eitost\u00ed pro inovaci.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00edlem t\u00e9to pr\u00e1ce je modelovat, optimalizovat nebo vytv\u00e1\u0159et nov\u00e9 mechanismy a modely, kter\u00e9 d\u00e1le roz\u0161\u00ed\u0159\u00ed mo\u017enosti v\u00fdpo\u010detn\u00ed onkologie. To zahrnuje n\u00e1vrh a implementaci model\u016f r\u016fstu rakoviny, anal\u00fdzu vlivu r\u016fzn\u00fdch faktor\u016f (nap\u0159. l\u00e9\u010debn\u00fdch metod) na v\u00fdvoj n\u00e1doru a optimalizaci simulac\u00ed pro lep\u0161\u00ed predikci chov\u00e1n\u00ed rakovinn\u00fdch bun\u011bk.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hlavn\u00edmi n\u00e1stroji pro pr\u00e1ci je libovoln\u00fd programovac\u00ed jazyk, p\u0159i\u010dem\u017e Python je doporu\u010dov\u00e1n d\u00edky \u0161irok\u00e9 \u0161k\u00e1le knihoven pro simulace a datovou anal\u00fdzu. T\u00e9ma je vhodn\u00e9 pro studenty se z\u00e1jmem o biologick\u00e9 procesy, simulace a interdisciplin\u00e1rn\u00ed v\u00fdzkum propojuj\u00edc\u00ed biologii, informatiku a matematiku.<\/p>","protected":false},"excerpt":{"rendered":"<p>Na t\u00e9to str\u00e1nce naleznete p\u0159ehled aktu\u00e1ln\u00edch t\u00e9mat v\u00fdzkumn\u00fdch prac\u00ed, kter\u00e9 nab\u00edz\u00edme student\u016fm v r\u00e1mci na\u0161ich v\u00fdzkumn\u00fdch aktivit. T\u00e9mata je mo\u017en\u00e1 realizovat ve form\u011b semin\u00e1rn\u00edch prac\u00ed na specializovan\u00e9 semin\u00e1\u0159e nebo ve form\u011b z\u00e1v\u011bre\u010dn\u00e9 kvalifika\u010dn\u00ed pr\u00e1ce. Pokud v\u00e1s n\u011bkter\u00e9 z t\u00e9mat zaujme nebo m\u00e1te vlastn\u00ed n\u00e1pad na v\u00fdzkum, nev\u00e1hejte n\u00e1s kontaktovat. Nab\u00eddka v\u00fdzkumn\u00fdch t\u00e9mat Po\u010d\u00edta\u010dov\u00e9 zpracov\u00e1n\u00ed elektromyografick\u00e9ho [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"folder":[],"class_list":["post-20","page","type-page","status-publish","hentry"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/pages\/20","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/comments?post=20"}],"version-history":[{"count":15,"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/pages\/20\/revisions"}],"predecessor-version":[{"id":370,"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/pages\/20\/revisions\/370"}],"wp:attachment":[{"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/media?parent=20"}],"wp:term":[{"taxonomy":"folder","embeddable":true,"href":"https:\/\/odas.ujep.cz\/en\/wp-json\/wp\/v2\/folder?post=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}