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This project provides an excellent opportunity to develop state-of-the-art mathematical models and computational tools of emerging respiratory pathogens, within a world-renowned research group
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and be able to work productively in an international team as
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structured career development and training. Access to cutting-edge core facilities in genomics, proteomics, imaging, and computational biology. Close supervision and mentorship to support scientific and career
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/2025.03.02.641062 Your Profile The successful applicant should hold a master's degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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admission requirements We accept applications from students holding a Master's or comparable degree in bioinformatics, mathematics, physics, computer science, biochemistry, biotechnology, or biology
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knowledge in toxicology (e.g. through advanced training courses, relevant study programme or work experience) Proficiency in written and spoken English Flexibility, team spirit and the ability to work under
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or equivalent) in biology, biochemistry, chemistry, food chemistry, toxicology, pharmacy or (veterinary) medicine or a comparable discipline Basic knowledge in toxicology (e.g. through advanced training courses
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together