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professional groups work hand in hand to provide our patients with optimal treatment. PhD position / Postdoc position (m/f/d) in Cancer Genomics and Oncogenic Signaling Full- or part-time | temporary (12 month
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sphere. Strong grounding in qualitative, quantitative, or mixed-methods research, with the ability to design and execute interdisciplinary projects. Ability to manage own working time and set internal
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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw
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. This communication influences the host's susceptibility to infectious diseases and inflammation in both mouse models and humans. To understand the effects of microbiota on the host, we use an interdisciplinary mix
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from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
experimental and theoretical approaches. The Molecular Signaling research group combines bioengineering and preclinical in vivo imaging to understand molecular signaling that underlies mammalian brain function
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 1 month ago
particularly advantageous: Mathematical and kinetic modeling of metabolic networks Mathematical optimization (linear and mixed-integer (non-)linear programming) Programming experience in MATLAB and/or Python
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addition, the GLP-1 analog semaglutide will be administered to evaluate its therapeutic effects on metabolic and structural changes. The project will focus on the following areas: Investigation of structural
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converted into electrical signals. We identify and characterize the molecular components involved in this transduction process using state-of-the-art molecular biology, electrophysiology, and biophysical
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA