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have access to cutting-edge computational infrastructure and ultrahigh-field MRI facilities. Your key responsibilities will include: Developing, training, and optimizing AI models to simulate brain
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related field. You have skills and experience with quantitative modeling, data analysis, programming languages (e.g., R, Python or Java) and optimization tools (e.g., Cplex or Gurobi). Affinity and proven
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for the production of green hydrogen, typically produced by water electrolysis. Although there are various technologies available, electrolysis plants are currently being build, the processes are far from optimal. One
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-droplets in the context of chip assembly. Develop novel micro-chip handling processes optimized for high acceleration, velocity, and precision. Conduct advanced experimental research, supported by numerical
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experimental structure optimization workflows to minimize the number of experiments to achieve desired properties; 3) generating new peptide sequences with desired target properties. This position will be part
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) and optimization tools (e.g., Cplex or Gurobi). Affinity and proven experience with sustainability and/or healthcare is a plus. You are able to think in and work with multidisciplinary research
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scenarios; hardware and software in the loop simulation; compiled common components (C++ lib) to accelerate computation; support for automatic differentiation throughout the framework to facilitate optimal
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). See: https://www.esa.int/gsp/ACT/resources/software.html. Organise and oversee competitions in computer science via the European Space Agency’s Kelvins platform (https://kelvins.esa.int) and optimize