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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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program that includes lectures, advanced scientific workshops, complementary skill courses and opportunities for career development a mentoring program to guide and promote young scientists Salary: Payment
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
Hinton ) at the Max Planck Institute for Nuclear Physics in Heidelberg (Germany) offers Postdoc positions (m/f/d). The Division is engaged in a broad programme of experimental and observational activities
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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, with access to various technologies and industry contacts, for which the CellNetworks Core Technology Platform serves as an umbrella structure. Heidelberg University invites applications
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
Job Code: 13-2025 Job Offer from June 27, 2025 Applications are invited for one research position in the High-Energy astrophysics group of the Max-Planck-Institute for Extraterrestrial Physics (MPE
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Ex Vivo CRISPR” with a clear translational goal: bringing gene editing of ELANE-mutated severe congenital neutropenia to clinical application, which is based on a gene editing approach recently
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available in the further tabs (e.g. “Application requirements”). Programme Description The Cusanuswerk offers fellowships to particularly gifted students and doctoral candidates of catholic faith from all
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-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail: Perform scientific
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch