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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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proteomic). Theoretical and practical knowledge in molecular and cell biology and/or protein chemistry are expected for successful candidates. The candidate should have an interest in systems biology
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neurosciences, biochemistry, genetics, data science, and related. Fluency in English is mandatory (at least C1); knowledge of French or German is desirable but not required. Applicants must be willing
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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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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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van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
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; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD strives to employ more
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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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and Pharmacy, Faculty of Biology, the German Center for Neurodegenerative Diseases (DZNE-Munich), Helmholtz Center Munich, the Max Planck Institutes for Biochemistry and Biological Intelligence and the
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light at the quantum limit, and on the other hand to apply this knowledge in order to develop novel spectroscopic tools for medicine, biology and industrial material characterisation. The advertised PhD