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, this master’s thesis aims to develop a methodology for deriving representative distribution grid models (“typical grids”) for Germany based on publicly available data from medium- and low-voltage power networks
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, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as
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Program Application Portal. Your application should include: a cover letter, a CV and a list of publications combined in one pdf file, a summary of previous research experience, a statement of your interest
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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, and law, with a strong interest in innovative and interdisciplinary research areas. Max Planck Postdoc Program (Postdoctoral positions at Max Planck Institutes) The Max Planck Society invites
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to offer doctoral candidates from Taiwan the opportunity to become acquainted with the German research