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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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to publications and conference presentations, and collaborate with researchers across animal neuroscience, human neuroimaging, and computational modelling. To be successful in this role, you will have, or be
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applications from highly motivated candidates interested in working on a collaborative NIH-funded project with the Torsten Falk lab to study the therapeutic effects of novel drugs in PD rodent models and related
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-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level
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conducting research at the convergence of multiscale computational mechanics, civil infrastructure resilience and digital twin modeling. The position will require extensive collaboration across disciplines
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Are you interested in advanced rheological characterization, microstructure analysis, and modelling of complex food systems? In this postdoctoral project, you will combine fundamental science with
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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microbalance (QCM), will be considered an advantage; experience in the preparation of model lipid membranes and in the preparation and characterization of lipid nanostructures; team working skills and the
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simulations, enhanced sampling, and kinetic modeling. Research activities will examine molecular interactions involving neurotransmitters and hormones, including norepinephrine and estrogen, and their effects
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot