38 parallel-programming-"Prof" Postdoctoral research jobs at Nature Careers in Germany
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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
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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We are seeking a highly motivated and skilled Postdoctoral Researcher to join our interdisciplinary team in the Division of Translational Oncology headed by Prof. Julia Skokowa. Our laboratory is
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synthetic microorganisms to detect and destroy bacterial and fungal pathogens selectively. SynThera consortium contains ten research groups and is coordinated by Prof. Dr. Kai Papenfort and Prof. Dr. Miriam
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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patient care. Major research priorities include Immunology, Cell- and Immunotherapy, and Neurosciences. The laboratory of Prof. Dr. Dimitrios Mougiakakos is seeking a highly motivated postdoctor-al
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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