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of the influence of the electrolyte on the overall cell performance under varying conditions Documenting and visualizing the achieved results in presentations Your Profile: You are enrolled in a master`s programme
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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, information science, sociology, communication science, political science, linguistics, physics Very good knowledge of R and/or Python Experience in the use of machine learning and natural language processing in
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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6 Feb 2026 Job Information Organisation/Company Life Science Network gGmbH Research Field All Biological sciences Chemistry Physics Researcher Profile First Stage Researcher (R1) Positions Other
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the same qualifications and skills.Please indicate any disability in your application. Selection process Please find further informations here: https://www.fh-potsdam.de/en/university-career/career
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the same qualifications and skills.Please indicate any disability in your application. Selection process Please find further informations here: https://www.fh-potsdam.de/en/university-career/career
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This interdisciplinary professorship within
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling methods (e.g., CT-FFR, predictive software models