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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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opportunity to develop and lead their own independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 16 days ago
independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee the development and implementation
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
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. PIK is offering a Programme coordinator position for the Planetary Boundary Initiative (m/f/d) (Position number: 17-2025 Programme coordinator) starting as soon as possible. The position is funded until
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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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Area of research: IT - Computing Job description: Linux System Administrator (f/m/x) 102545 Full time, close to full time 35-39 hrs./week Neuherberg near Munich Home Office Options We are Helmholtz
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04.04.2025, Wissenschaftliches Personal The Chair for Computer Architecture and Parallel Systems (CAPS) offers this position as part of the DARE-project funded by the EuroHPC JU bringing together
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training