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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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at INW and at synchrotron facilities (DESY, ESRF, BNL) Extended visits to synchrotron facilities Participation in international conferences (including presenting your research results) Preparation
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Green Deal and the lignite phase-out. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerated technology development and the sustainable
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of research results at conferences and publication in peer-reviewed journals Representation of JCNS-3 in project meetings and on international conferences Your Profile: Basic qualifications: Completed Master’s
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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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Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years
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help in shaping the change! We support you in your work with: Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne
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national and international ML/DL communities, most importantly in helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai/ Present research results at scientific
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ABOUT US The DWI – Leibniz Institute for Interactive Materials is a research institution of the Leibniz Association funded by the federal and state governments. It is based on the Melaten campus
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BSc students Presentation of research results at conferences and publication in peer-reviewed journals Representation of JCNS-3 in project meetings and on international conferences to foster our network