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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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. 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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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
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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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on concrete materials and structures. • Experience with concrete mixing and laboratory testing. • Experience with statistical analysis of experimental data and optimization techniques. Application
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design and construction of capital improvements and major infrastructure projects for New York University's Planning and Construction Division to ensure projects are delivered in accordance with approved
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of osteoarthritis). This project aims the following main objectives: Define patient-specific key functional and mechanical requirements for large osteochondral scaffolds. Produce biocompatible porous 3D structures
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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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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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