5 process-engineering "https:" "https:" "https:" "https:" "https:" PhD scholarships at Forschungszentrum Jülich
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Current master's student in Process Systems Engineering, Computational Engineering Science, Chemical Engineering or a comparable program Programming experience in Python; experience with PyTorch is a
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public relations work Your Profile Completed university degree (Master's) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control
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neural networks, and physics-informed machine learning in power systems Set up benchmark grids and generate or process suitable simulation data for power-flow, voltage-prediction, or state-estimation