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Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years
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opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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the Baltic Sea. The staff of the five departments Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research
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the Department of Physical Oceanography for a period of 24 months and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in accordance with the Tarifvertrag für den
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
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highly desirable. Benefits Career Development Postdoc program, scientific training & career center with tailored offers Recreation 30 days annual leave, flexi days, plus public holidays International Staff
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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational