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<StudijnyProgram xmlns="http://www.ais2.sk/api/importexport/ePrihlasStudPrg">
    <skratka>Md</skratka>
    <popis>Mathematics</popis>
    <dlzkaStudia>4</dlzkaStudia>
    <fakultaSkratka>PF UPJŠ</fakultaSkratka>
    <fakultaPopis>Faculty of Science</fakultaPopis>
    <kodStupenStudia>III.</kodStupenStudia>
    <popisTypStudia>Single degree study</popisTypStudia>
    <popisDruhStudia>Ph.D. (Doctor of Philosophy)</popisDruhStudia>
    <popisFormaStudia>Full-Time</popisFormaStudia>
    <odbory>Mathematics</odbory>
    <idProgramNaTermine>7614</idProgramNaTermine>
    <popisTerminu>Doktorandské štúdium -  prijímacie konanie 2026/2027</popisTerminu>
    <popisAkadRok>2026/2027</popisAkadRok>
    <odDatumuEPrihlasky>2026-03-01+01:00</odDatumuEPrihlasky>
    <doDatumuEPrihlasky>2026-05-31+02:00</doDatumuEPrihlasky>
    <terminPrijimaciehoKonania>15.06.2026 - 26.06.2026</terminPrijimaciehoKonania>
    <profilAbsolventa>A graduate of the doctoral study program in Mathematics has extensive theoretical and methodological knowledge from several areas of continuous or discrete mathematics. He/she masters advanced theoretical foundations and scientific research methods, is able to independently identify and formulate scientific problems, discover new principles of mathematical structures and design complex mathematical models of tasks from various areas of  natural, social and technical sciences. When solving these tasks, he/she can effectively use computing technology. The graduate is ready to publish the results of his/her scientific work in renowned scientific journals and present them at professional conferences. He/she has the ability to follow current developments in the field, establish professional contacts and actively participate in interdisciplinary cooperation. He/she is ready for independent scientific, pedagogical and professional activity and for further professional and scientific research development.</profilAbsolventa>
    <jazykyVyucby>Slovak</jazykyVyucby>
    <limitPrijatych>1</limitPrijatych>
    <pocetEPodanych>0</pocetEPodanych>
    <pocetPodanych>0</pocetPodanych>
    <pocetUchadzacovMinulyRok>6</pocetUchadzacovMinulyRok>
    <pocetPrijatychMinulyRok>4</pocetPrijatychMinulyRok>
    <cestaStudijnyPlan>https://ais2.upjs.sk/repo2/repository/default/ais/studijneplany/2025-2026/PF_UPJS/EN/Md.xml</cestaStudijnyPlan>
    <temaZP>
        <nazov>Diferenciálne invarianty (Differential invariants)</nazov>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Klasifikácia agregačných funkcií na usporiadaných množinách (Classification of aggregation functions on ordered sets)</nazov>
        <skolitel>RNDr. Jozef Pócs, PhD.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Kombinatorické vlastnosti reálnej priamky (Combinatorial properties of real line)</nazov>
        <skolitel>doc. RNDr. Miroslav Repický, CSc.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Kvalitatívne vlastnosti nelineárnych funkcionálnych diferenciálnych rovníc. (Qualitative properties of nonlinear functional differential equation)</nazov>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Matematická teória volieb (Mathemematical theory of voting and elections)</nazov>
        <skolitel>prof. RNDr. Katarína Cechlárová, DrSc.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Matematické základy hierarchickej agregácie dát (Mathematical foundations of hierarchical data aggregation)</nazov>
        <skolitel>prof. RNDr. Ondrej Hutník, PhD.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Nonlinear Dynamics and Predictive Inference under Non-additive Measure Frameworks (Nelineárna dynamika a prediktívna inferencia založená na neaditívnych mierach)</nazov>
        <skolitel>doc. Mgr. Jozef Kiseľák, PhD.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Schwarzschildova metrika a jej zovšeobecnenie (Schwarzschild metric and its generalization)</nazov>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Testovanie mnohorozmerných náhodných veličín so špeciálnymi variančnými štruktúrami (Testing of multivariate random variables with special variance structures)</nazov>
        <skolitel>doc. RNDr. Daniel Klein, PhD.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
    <temaZP>
        <nazov>Vzdialenostne podmienené realizácie geometrických grafov (Distance-constrained realizations of geometric graphs)</nazov>
        <skolitel>prof. RNDr. Tomáš Madaras, PhD.</skolitel>
        <akadRok>2026/2027</akadRok>
    </temaZP>
</StudijnyProgram>
