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Applicants must hold a Bachelor’s degree and a Master’s degree (or equivalent) with a minimum total of 300 ECTS credits in fields such as data science, computer science, physics, or mathematics. Candidates
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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Do you like applying mathematical theories in practice to solve real-world challenges? Do you like working with top-notch, internationally recognized industrial partners? Would you like to push the
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networks overlap and differ across species, providing insights into the evolutionary origins of brain function and the neural basis of cognitive functions such as language, working memory, and theory-of-mind
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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plant communities with different host quality compositions. Derive general principles of pathogen transmission in diverse communities. Formulate and test new hypotheses that bridge mathematics and ecology
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs
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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
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of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU
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Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome