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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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abilities, this work may involve more numerical or analytical aspects. References I. Cheddadi, M. Génard, N. Bertin, and C. Godin. Coupling water fluxes with cell wall mechanics in a multicellular model of
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules # Engage with our international collaborators (Berlin, Dresden, London
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 2 months ago
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 molecules Engage with our
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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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and numerically. Particle stability analysis: Investigate mechanical stability of crystals and adsorbents under process conditions. Mechanical stress often causes abrasion and breakage, limiting
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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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and Oncology and provides numerous training opportunities with access to cutting-edge techniques. The location of Heidelberg offers state-of-the-art infrastructure in a highly collaborative environment