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Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI
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for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications 1. Currently admitted to the Graduate School 2. Be in good
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal
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Midlands Graduate School Doctoral Training Partnership; | Nottingham, England | United Kingdom | 10 days ago
organisations work alongside the criminal justice system in England and Wales, delivering specialist services, campaigning and self-help for justice-impacted individuals. However, this role is shifting. In recent
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of the project] * Background of the recruitment and description of the project We invite applications for a Postdoctoral Researcher to join an international research team studying ecohydraulic processes in a
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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Position Details Position Information Requisition Number Stu04970P Home Org Name Psychological Sciences Division Name College of Liberal Arts Position Title Student Research Assistant
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences