41 assistant-professor-computer-science-data-"Prof" PhD positions at Nature Careers in Germany
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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of the university hospitals in Germany. PhD Position – Virology and Infection Biology (m/f/d) The Institute of Virology, in the research group of Prof. Hendrik Streeck at the University Hospital Bonn (UKB), Faculty
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Biology, Biomedical Imaging, Biochemistry, Physics, or a related field A strong interest in biomedical imaging, contrast agent development, immune cell tracking, and data analysis Previous experience with
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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reporter assays Integrate omics data to identify functional variants affecting spermatogenesis REQUIREMENTS: A Master’s degree in Biology, Molecular Medicine, Biochemistry, Biotechnology, or a related
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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of the research group on “Aggressive Lymphomas” led by Prof. Dr. Georg Lenz in the Department of Medicine A. We offer an excellent research infrastructure with access to state-of-the-art equipment, a
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning