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, Biomedicine, Biology, Biochemistry, Pharmacy or related areas, and be enrolled in a PhD programme or in a non-degreeawarding course. I.II - The non-degree-granting course must be related to the type
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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) postdoctoral fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences
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electrochemical and CO2 removal research. Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine learning group
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(two-year) postdoctoral fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
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fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences, mathematics
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design