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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 26 days ago
Opportunities to develop – on the job and towards other positions An international environment – everyday contact with people from all over the world Flexible working hours and the possibility of mobile working
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after sterile injury (Cell 2024). To expand this line of research, we are now recruiting Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology to join our multidisciplinary
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(e.g. Malik et al. Nat Genetics 2028; Mishra et al. Nature 2022) and subsequent findings from our lab showing that the stroke risk gene Foxf2 maintains brain endothelial cell function via Tie2 signaling
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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 7 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Chair offers: A stimulating research environment at one of Europe’s leading universities Close collaboration in
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and simulation Prior experience with particle accelerators and/or FELs is highly desirable Familiarity with machine learning techniques is a plus but not necessary Excellent command of English is
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inflammation in diabetes and to treat chronic inflammation. Candidates with experience in cellular immunology, molecular cell biology or biochemistry are specifically encouraged to apply. We offer: Responsible
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
, improving lives. The Horvath Lab at the Institute of AI for Health (AIH) aims to build large deep learning models for digital pathology to resolve single cell heterogeneity and identify subtle cellular
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research