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involving clinician scientists, basic scientists, and bioinformaticians and supports career development and postdoctoral training courses. The contract conditions and the salary will be according
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professional development, including teaching, supervision, and leadership roles Competitive compensation in line Collective Agreement for the Civil Service of the Länder (TV-L). TUM strives to raise the
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the Hannover region. We offer a vibrant interdisciplinary and international working environment, and promote personal and professional development ranging from subject-related skills to leadership and languages
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of the largest and most attractive employers in the Hannover region. We offer a vibrant interdisciplinary and international working environment, and promote personal and professional development ranging from
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research group of Dr. Torsten V. Zache at the Technical University of Munich. Our group is broadly interested in the theoretical development and application of quantum technologies to fundamental physics
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop essentially new methods
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projects in basic biomedical research and who wish to learn methods relevant to their current research. To this end, the grant finances the participation in practical training courses or short-term research
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure