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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
theoretical fundamental scientific research and currently employs about 300 people. We are part of the Göttingen Campus, a collaboration between the university and non-university research institutions
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for improving the education landscape. Nationally and internationally, our research institute is one of the leading centers for empirical educational research. As an interdisciplinary team, we work on current
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
offers a Postdoctoral and a PhD position. The Department of Interface Science headed by Prof. Beatriz Roldan Cuenya at the Fritz-Haber-Institute carries out cutting-edge research on advanced functional
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High motivation to take on responsibility and develop own research idea Willingness for regular business trips Our Offer: We work on the very latest issues that impact our society and are offering you
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and material characterization. Experience with electrochemical methods and material synthesis. Ability to work as a member of an international, multi-disciplinary team. Excellent communication and
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
employs about 300 people. We are part of the Göttingen Campus, a collaboration between the university and non-university research institutions. The Laboratory for Fluid Physics, Pattern Formation and
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG) Collaboration with interdisciplinary teams to enhance model performance