42 evolution "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Nature Careers in Germany
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Office, childcare services, and dedicated programs for personal and career development. We look forward to receiving your application no later than February 6, 2026. All information about YIG Prep Pro
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establishes strong pipelines towards clinical application and economic innovation. Further information can be found at https://dktk.dkfz.de/en. We seek to appoint an independent junior research group leader
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generous start-up package, substantial core funding, and limited teaching duties - enabling full dedication to scientific research and team development. Your Profile We are seeking outstanding candidates
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, proven by basic scientific work and documented preclinical development of hematological immunological cellular therapies, in particular cell-based gene or RNA therapies. Relevant publications as
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data. This position offers an exciting opportunity to work at the intersection of cancer biology, spatial multi-omics, and artificial intelligence. More information: https://digitalhealth.tu-dresden.de
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to obtain further academic qualification (usually PhD / habilitation thesis). Tasks: scientific research and development activities in research data management (RDM) with a focus on AI- and machine
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. Candidates must have achievements in research and teaching equivalent to a habilitation. WE OFFER YOU The University of Cologne provides an exciting academic environment with a wide range of career development
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-Wittenberg and to actively pursue further professional development. The willingness and ability to teach in both German and English are required. Further duties and responsibilities are stipulated in section
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addressable disassembly exchange and collaborate with a diverse team of scientists from the REC² Cluster, in particular with those from the RAP 1 of the Cluster on the development of dissolvable field effect
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(https://hessian.ai/). Your tasks The scientific focus of the professorship for “Ethical and Safe AI” will be on developing methods and algorithmic foundations for AI systems whose behavior is consistent