205 parallel-and-distributed-computing-phd-"Multiple" positions at Nature Careers in Germany
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TU Dresden Excellence – A matter close to our hearts Excellence? Elitism? Opportunity or risk? The Excellence Programme, initially launched in 2005 by the German government has aroused passionate
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supports user-defined computing operations for combined data analysis, also has great potential for social applications. independent handling of challenging, inter- and transdisciplinary research projects in
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productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell
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to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Deutsche Telekom Chair of Communication Networks offers a position under
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direction includes applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues
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The Center for Regenerative Therapies Dresden(CRTD) at TUD Dresden University of Technology consists of 21 international research groups working in the field of regeneration across multiple organ
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and in PhD programs, both in computer science and in interdisciplinary study programs. The ability to teach in German and English is expected. The general administrative requirements for hiring
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, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment similarity based molecular
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation