22 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" positions at DAAD in Germany
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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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-reconstruction Employment conditions This is a qualification position in the sense of the German Academic Fixed-Term Contract Act (WissZeitVG) and serves to support a doctoral program. The position is full-time
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to interest graduates of the Taiwan Summer Institute Programme in Germany as a centre of research and to
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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-on-daad-programmes/gssp/ Application deadline: December 15, 2025 Application portal: https://www.en.didaktik.gsll.fak13.uni-muenchen.de/application/index.html
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, other environmental assessment methods and recycling indicators for the project “RAP5 (Responsible Aim Program 5) – Pre-design – Predictive Device Design” as part of the Cluster of Excellence “REC
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, other environmental assessment methods and the development of reuse indicators for the project “RAP1 (Responsible Aim Program 1) – Assemble, Disassemble, Repeat – Materials Library for Circular
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expertise of the two Clusters of Excellence—QuantumFrontiers and PhoenixD—the program offers an inspiring, interdisciplinary training environment where experimentalists and theorists collaborate hand in hand
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and presentations at scientific conferences contribute to the development of the new Master's program, "Resource-Efficient Manufacturing and Materials – REMM." Requirements: very good to good university
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an interdisciplinary team of biologists and clinicians Well-equipped laboratory with personal mentoring Integration into a structured PhD program at Münster University and the PodoSigN research training group This is a