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Area of research: Scientific / postdoctoral posts Job description: Researcher - Engineering & Physics for Biomedical Innovations (f/m/x) 102788 Full time 39 hrs./week Neuherberg near Munich
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.01.2026
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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany offers a Postdoctoral position (m/f/div) on the topic
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19 Sep 2025 Job Information Organisation/Company Max Delbrück Center Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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cells to generate advanced model systems for studying beta-cell maturation and failure. You will apply state-of-the-art molecular biology and tissue culture methods, along with next-generation sequencing
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Bioprogrammable Materials is looking for an enthusiastic Post-doctoral Researcher with experience in Protein Engineering. We combine synthetic biology and biomaterials to develop smart platforms for therapeutics
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, incorporating insights from the philosophy of language, the cognitive language sciences, linguistic pragmatics, and formal logic / epistemology. The main task of the post-doctoral researcher is to contribute to a
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assistant (m/f/d) in the field of microbial ecology, molecular biology, microbiology or comparabel field remuneration group 14 TVöD permanent employment relationship Full-time / suitable for part-time
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural