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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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well as the opportunity to design and construct instruments and/or sample environments Establishment of cooperation projects with institutes at Forschungszentrum Jülich working on energy materials Supervision of MSc and
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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25.03.2025, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise
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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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harbouring excellent research and education provide patient care at the highest medical level with around 11.000 employees. The Klinik und Poliklinik für Radiologie (Department of Radiology) on the Campus
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, the model will maintain a global scope to capture international interactions, such as the demand for agricultural products from regions like the EU. This research will inform the design of effective and
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
. The Department of Machine Learning for Materials Design is looking for a Postdoc (f/m/d): Machine Learning for Materials Modeling. Scope of Your Job In this role, you will contribute to ongoing research efforts in
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration