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translational impact. Take on scientific leadership within the imaging research area, supporting strategic development with the group leader and chair. Contribute to research proposals and funding applications
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of visual interfaces Benchmarks, usability studies, and open-source visualization tools Visualization for explainable AI/LLM Development of functional research prototypes such as MetroSets Our work in this
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and 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
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will join the newly established 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
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of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development. Additionally, it maintains strong alliances with companies and
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immunology, specifically on Marginal Zone (MZ) B cells. Project Overview: The successful candidate will contribute to an NIH-funded project aimed at understanding the development and maintenance of Marginal
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and used to predict the development of damage. Based on this, a new maintenance strategy is to be developed that is based on the physical relationships and thus enables better consideration of critical
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stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, and life-long learning. Situated
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candidates in the interdisciplinary Large Language Model (LLM) research field. It focuses on aligning these models with human values to ensure their development and deployment are ethically sound and socially
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling