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experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process
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background in microfabrication. Further, experience with experimental setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets
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progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated
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early 2025. Excellent academic track record, with a strong background in machine learning methods and biogeochemistry. Programming experience using languages such as Python, R, etc. You are self-motivated
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
markets, renewable gases (e.g. hydrogen) Strong programming skills (experience in Python or in C++ is a plus) Experience in modelling and analysis of electric power systems and/or energy systems Excellent
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in programming, particularly in Python, is essential. Fluency in English (written and spoken) Strong collaboration and communication skills Workplace Workplace We offer Opportunities to engage in