63 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Technical University of Munich
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the international research community. • access to comprehensive training programs and individualized development support to foster your academic growth. • an inspiring, dynamic, and multidisciplinary research
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Technical University of Munich, one of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development. Additionally, it maintains
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candidate compensated at 65% and the postdoctoral researcher at 100%. Social Security & Pension: Full coverage under Germany’s social security and pension schemes. Professional Development: Access to high
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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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-of-the-art in neuromorphic computing. • Algorithm Development: Design and train SNNs tailored to automotive tasks. • Select and design appropriate edge hardware platforms for deploying SNNs in cars. • Optimise
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opportunities to present your work at renowned academic conferences. • Access to comprehensive training programs and individualized development support to foster your academic growth. • The opportunity
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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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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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, 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 Zone B cells
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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 failure mechanisms