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Job Advertisement Leibniz-HKI-36/2025 In a joint, multi-disciplinary approach, the Friedrich Schiller University of Jena together with the Leibniz Institute for Natural Product Research and
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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alignments, data acquisition, image processing and structure calculation using a variety of cryo-EM software. The candidate should be comfortable using Linux. Strong written and oral communication skills in
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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the application process, please contact our recruiting team at our phone number +49 (0) 331-6264-28787. This research center is part of the Helmholtz Association of German Research Centers. With
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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work in a team High level of responsibility Capacity to develop new methods and adopt new techniques Good verbal and written communication skills in English Conditions: The full-time position (40 hours
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge