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Field
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 12 hours ago
Profile Bachelor's degree in physics Master?s degree/diploma in condensed matter physics Good knowledge in the field of magnetism Knowledge of neutron scattering is helpful Good computer programming skills
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable semantic querying and reasoning over materials-science/physics corpora Developing
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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degree in physics, (physical) chemistry, or material science. Knowledge in the operation of ultrahigh vacuum equipment and using X-ray spectroscopies is mandatory. Background in photovoltaic materials
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(at least finished before July 2025) very good programming skills and AI/ML knowledge good written and spoken English skills (CEFR level C1 or higher) We offer: cutting-edge research in data science and
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unique consortium, poised to train a cohort of DCs with comprehensive and sound knowledge on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry