71 Mathematics "Brandenburg University of Technology Cottbus Senftenberg •" Postdoctoral positions in Germany
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- Max Planck Institute for Physics, Garching
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
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- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Peace Research Institute Frankfurt (PRIF)
- RTG 2756 CYTAC, University of Göttingen
- Technische Universität Ilmenau
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The Pre-Doc...
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Job Offer from May 15, 2024 The Max Planck Institute for Physics is a research institute focusing on particle and astroparticle physics from both an experimental and a theoretical perspective. One main research activity is the participation in the ATLAS experiment at the Large Hadron Collider...
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masters degree and subsequent Ph.D. degree in Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good
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to cells. Naturally, this research is performed in a highly interdisciplinary manner and involves physics, physical and bio chemistry, cell biology and mathematical data analysis. The RTG 2756 offers a
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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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techniques, modern sequencing technologies and bioinformatics and statistics Knowledge in programming (e.g. with R, Python, Pearl) and mathematical modelling with special focus on the field of microbial
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Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good knowledge and proven skills with larger deep learning
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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 8 days ago
species. For this mathematical models will be applied that take into account cell size, cellular complexity, cell size-associated genome size, cellular/metabolomic flexibility, and generation time