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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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for accurate and efficient analysis. Possible Research Themes We seek motivated PhD candidates to advance computational mass spectrometry in one or more of the following directions: Algorithm Development Design
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vision systems (both hardware and software aspects), • development of machine vision algorithms, • support in leading a research team, • participation in teaching activities. Work Location(s) Number
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sciencesEducation LevelPhD or equivalent Skills/Qualifications Qualifications and other requirements Ph.D. in molecular biology, genetics, genomics, bioinformatics, computational biology, biophysics or a related
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sciences, such as archaeology, art history, anthropology, genetics, geology, climatology, botany and geophysics.The successful candidate will participate in research activities of the project “Ready for
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, anthropology, genetics, geology, climatology, botany and geophysics. The successful candidate will participate in research activities of the project “Ready for the future: understanding long-term resilience
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comparative genomics of threatened butterflies in the Czech Republic. The goal of the PhD position is to quantify the impacts of habitat fragmentation on the genetic diversity and adaptive potential
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quantify the impacts of habitat fragmentation on the genetic diversity and adaptive potential of butterflies associated with one of the most species-rich yet highly threatened biotopes in Europe – dry