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Field
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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the subway, S-Bahn or tram Contact: Maximilian Tschochohei, PhD, VIOLET Project, Institute for AI and Informatics in Medicine, Chair of Medical Informatics, Technical University of Munich (TUM
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications PhD position - Ad Print4Life DC12 - code no. 2025/MO 4
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 23 days ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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computational scheme which allows efficient and accurate computer simulations of biofabrication. Using this novel tool in collaboration with our experimental colleagues we will thrive to understand the physical