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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
/m/d) on Generative AI for de Novo Protein Design. Your tasks # Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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. They generally combine analytical insight from simple systems with more detailed numerical simulations to unveil biological design principles. Additionally, they build tailored models to interpret experimental
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months 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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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling“ under
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Research Associate for the Project “BeRyQC” (Postdoc) § 28 Abs. 3 HmbHGInstitution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Physics, Institute for Quantum
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on formal verification and reachability analysis using logical zonotopes, with applications in digital circuit verification and model checking. Candidates should have a strong mathematical background and
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on foundational models, multi-modal protein embeddings, and reinforcement learning for protein design. Preclinical Validation (Freiburg): Use of microscopy for screening and organoid models. If successful, we would
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generation of seismicity and hazard models that integrate statistical and physics-based representations of earthquake occurrence. These models will account for spatio-temporal variability in seismicity rates