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- Charles University, Faculty of Mathematics and Physics
- Biology Centre CAS
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- Charles University, Faculty of Pharmacy in Hradec Kralove
- Charles University, Faculty of Social Sciences
- Institute of Physics of the Czech Academy of Sciences
- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
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Robotics, Mechatronics, Mechanical Engineering, CS, Automation, or similar Experience in at least one listed research area Motivation, curiosity, and ability to learn quickly Independence and hands
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of dissertation topics: Development of Machine Learning Frameworks for Reactive Atomistic Materials Modeling (DSP II) Profile of the graduate This Ph.D. program is an interdisciplinary study combining physical
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Scientist position in the areas of computational algebra, geometry, and topology. The successful candidate is expected to be active in research and to teach courses related to the focus of the advertised
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systems, cartography, and remote sensing. Students acquire theoretical and practical knowledge, methodologies, and techniques for solving geographical problems. It encompasses scientific research and
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of at least six months is required. Experience in supervising students (master’s theses, student research projects). The candidate should be able to teach in both Czech and English. Expertise Materials physics
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the field of number theory. The successful candidates are expected to participate in a research grant project and teach on average two hours per week. Application Instructions Upload the application and the
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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learning…) approaches in your dissertation research. Note that you will also be required to fulfil the usual study obligations of full-time doctoral students at our institution. As a member of the faculty
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: The successful candidate will: Analyse Salicaceae metabolomes using advanced metabolomics and bioinformatics; Develop bioinformatic pipelines integrating existing tools to acquire deeper insights
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integrating existing tools to acquire deeper insights into structural and functional chemical variation; Collaborate with team members to interpret chemical diversity within an evolutionary and ecological