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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
ongoing research efforts in the development of statistical 3D models of Horses. About us We are creating the world’s most realistic human and animal avatars for use in research, film, virtual reality
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of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A PhD position (36 months) is currently available in
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of patients with cochlear implants Simulation and validation of electrical current flow in intra- and extracochlear models Calibration and adjustment of finite element models (FEM) using clinical data
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or mouse models of infections. In addition, the candidate might collaborate with a post- doctoral candidate in analyzing dormancy through fluorescent probes and flow cytometry and mice models on other
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experience combined compression, tension, and shear while simultaneously undergoing severe thermal gradients. Yet most current material models and design approaches are based on simplified stress states and
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opportunities for scientific development and international networking. Daily tasks: The candidate will design and perform in vivo experiments using animal models, including maintenance of transgenic colonies and
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of ocean fine-scale whirls on climate and ecosystems. The focus is on the Agulhas Current System around South Africa as a global hotspot of eddy activity, ocean-atmosphere heat exchange, and marine
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quantify the influence of geochemical reactions on flow regimes and thermal transport across pore and Darcy scales, Collaborate with project partners for model validations, applications, and predictive
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currently in a unique position of benefiting from the hindsight of billions of dollars spent in research and development in large-language models (LLMs). This second-mover advantage position creates