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analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological
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100%, Zurich, fixed-term The professorship for history and philosophy of mathematical sciences , led by Prof. Roy Wagner, is a place for reflecting on all aspects of mathematical knowledge from
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experiments or observations, mathematical modelling, and state-of-the-art tools (e.g., genomics, phenotyping, eDNA), would be a perfect fit for the position. The future professor is invited to take advantage
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, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing
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assessment of integrated chemical and plastic production systems using mathematical optimization. Specifically, you will participate in: advancing in-house models covering the global production pathways
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, Computational Biology, Pharmacology, or a related field. A strong background in evolutionary population genetics, with expertise in mathematical model-ling and simulation, is valuable. Prior experience in
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science, or a related discipline and have a background in solid mechanics, applied physics and mathematics, computational sciences, or a related field. Additionally, you have prior programming experience
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highly motivated and self-organized individual with a PhD or equivalent industry experience in the topic of Geoscience, Engineering, Mathematics, Physics, or a related technical field, with a proven track
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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical
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optimization sub-group of the Reliability and Risk Engineering Lab. To this aim, the successful candidate will: Advance mathematical optimization methods to further our understanding of future energy systems