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position within a Research Infrastructure? No Offer Description We are looking for highly motivated Postdoctoral Researchers in Battery Modelling and Multiphysics Simulation to develop a modelling framework
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. Experience with EMT simulation tools, frequency-domain modelling, real-time simulation or hardware-in-the-loop environments is highly valued. Beyond technical excellence, we seek candidates with intellectual
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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possible mechanisms of action, identify peculiar activity signatures and integrate cellular toxicity profiles to reduce false positives and guide compound prioritization. The models will be populated and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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will: Develop and implement reinforcement learning approaches for epidemic mitigation. The main focus in this position is on research; Work with epidemic simulation models and formulate control problems
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complex (multicomponent) matrices (foods, digestive products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and
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approximately 50% clean room work and process development, and 50% optical simulations (Lumerical, mode solvers, FDTD, inverse design, …) and optical experiments. The focus will be on fabricating novel devices
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University and imec. The estimated breakdown of the research activity is approximately 50% clean room work and process development, and 50% optical simulations (Lumerical, mode solvers, FDTD, inverse design