14 parallel-computing-"INSERM" Postdoctoral positions at Forschungszentrum Jülich in Germany
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part of an international and interdisciplinary working environment with access to outstanding computing facilities and connections to the best research institutions around the world Opportunity
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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, computer scientists and physicists to combine our extensive expertise in neuroscience, imaging and AI into viable solutions Publish your results in high-quality scientific articles National and international
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and mesoscopic scale with a focus on X-ray and neutron diffraction as well as PDF analysis, supported by...