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Field
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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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At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the “Satellite Data Analysis” working group is available as PhD Student (f/m/d) The position is initially offered
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the Integrated Crop Systems Analysis working group. The interdisciplinary working group has a thematic focus on climate risk management and assessment. They use a range of methods including process-based and
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Research Area in the Integrated Crop Systems Analysis working group. The interdisciplinary working group has a thematic focus on climate risk management and assessment. They use a range of methods including
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transformation paths. Based on a systematic literature review and trade data analysis, the first step will be to select the technologies to be considered (e.g., generator- and permanent magnet-based). A material
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To strengthen our team in the division 5.5 “Materials Modelling” in Berlin-Steglitz, starting 01.05.2026, we are looking for a Research Assistant (m/f/d) for investigation and analysis
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | about 1 month ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Tomographic analysis of flow fields in pore networks affected by clogging With cutting-edge research in the fields of ENERGY, HEALTH
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to augment classical spike train analysis methods particularly those developed by Prof. Grün and others for detecting synchronous spiking activity with AI-based enhancements. After profiling the classical