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PostDoc (with the option for a one-year extension), in the Computational Chemistry group at Boehringer Ingelheim, Biberach, Germany. For this PostDoc grant via opnMe , we invite you to submit your research
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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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physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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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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Germany Application Deadline 12 Apr 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 10 Mar 2025 Is the job funded through the EU Research Framework Programme? Not
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering
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basis with at least 30h/week. The position is preferably to be filled as a PostDoc position, but is generally also suitable as a project or PhD position. About SEAGUARD This position is embedded in
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optional for research analysts) Requirements: Master’s Degree or PhD in Physics, Engineering, Chemistry, Economics, Environmental Sciences, Mathematics, Computational Sciences or a related field Excellent
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER