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and bridge access gaps for diverse student populations. Collaborate with Marketing, Advising, Financial Aid, and academic departments to optimize recruitment, retention, and overall student success in
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in porous media. The researcher will contribute to the implementation of new physics (such as transport, reactions, and thermo-mechanical couplings), computational performance optimizations
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writing content for grant applications. Will collaborate with the team to design, optimize, and standardize experimental and analysis pipelines to accelerate high-quality publications. Will review trainee
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Research Infrastructure? No Offer Description TASKS/ROLE * conducting research under the project Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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. Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. Security Awareness: Knowledge of security best practices for AI
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a
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will contribute to a better understanding of surface annealing processes, with the goal of achieving optimized control over the final material state, taking into account its crystalline structure as