37 parallel-programming-"Meta" Postdoctoral research jobs at Nature Careers in Germany
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. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research
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An open minded and motivated team Offers to support the compatibility of family and career Support for your personal and professional development through Heidelberg University's internal educational program
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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program that includes lectures, advanced scientific workshops, complementary skill courses and opportunities for career development a mentoring program to guide and promote young scientists Salary: Payment
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spin-off opportunities supported by programs like GO-Bio. Your tasks Drive the advancement and integration of laser diode and chip technologies in close collaboration with research teams Perform proof
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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g