184 engineering-computation "https:" "https:" "https:" "https:" "Univ" positions at Nature Careers in Germany
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At TUD Dresden University of Technology the Faculty of Environmental Sciences is looking for a Research Associate to work together in a larger project consortium with German partners (Chairs
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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, biological processes for plastic recycling. The research is expected to make use of methods from metabolic engineering, synthetic biology, and adaptive laboratory evolution, as well as automation opportunities
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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 23.01.2026 Job description: 2026/KG 1 - Postdoc - Data Science or Computer Science with
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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approaches to biological systems. Candidates will complement this research with their research programme in theoretical biophysics – at scales from molecules to cells to organisms – or related areas, including
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, and a willingness to advance coordinated projects are expected. In teaching, he/she should represent the subject of biochemistry in its entirety in the bachelor’s programme Biochemistry, the master’s
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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computing machine-learning innovation in connection with large-scale simulation-based research and observational data conceptual and technical development of data engineering / lifecycle (handling, streams, flows