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for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents that integrate domain knowledge to support structured chain-of-thought
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doctoral degree in psychology, cognitive science, biology, computer science, medicine or an equivalent discipline Relevant research experience or interest in the field of “Decision Neuroscience
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products and processes in real-time. Why join us Creative freedom – opportunities for knowledge growth – industry connections – dynamic team Your tasks • Scientific research and project management
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this knowledge, develop them as minimally invasive neural devices. Specifically, we aim to develop a toolbox of nanomaterials to study and learn from, looking at e.g. how nanoelectrode size and shape affects
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package Good communication skills in English (knowledge of German is not necessary) We offer Target-oriented individual further education and training opportunities Targeted training on the job Ticket for
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering
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, Mathematics, Physics, or similar fields Broad interest in scientific topics Good knowledge of AI and applied Machine Learning Practical experience with High Performance Computing Systems as well as parallel
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for organoid research and bioengineering approaches Experience with microfluidics is expected. Knowledge of acoustofluidics and/or cell culture and cell biology techniques is beneficial Competitive
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science is expected. Knowledge of spectroscopy, microscopy or bioanalytical methods, as well as cell culture and cell biology techniques are beneficial Competitive applicants must have obtained
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environment (e.g. cleanroom, laboratory Deep knowledge of solid state physics and/or quantum information Experience with microfabrication and/or operating and calibrating quantum systems Experience with