750 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions in Germany
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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12 Sep 2025 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences » Biology Researcher Profile
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
Planck Society and is dedicated to the study of human cognition, functional brain processes and neuroanatomy. The Neural Computation Group led by NCG, PI Dr. Andrej Bicanski offers: PhD position or a
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 22 hours ago
synergistic group. Successful candidates will join one of the scientific departments at the AEI in Potsdam, either the “Astrophysical and Cosmological Relativity” (ACR) or the “Computational Relativistic
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knowledge of numerous histological methods and imaging techniques The opportunity to pursue a doctorate Excellent facilities and equipment A wide range of opportunities for cooperation at local, national and
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Systems, Philosophy of Mind & Ethics, Methods in Cognitive (Neuro-)Sciences, Computational Neuroscience & Statistics, Basics in Molecular Neurobiology & Genetics, and Clinical Neuroscience. Furthermore
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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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