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Field
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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. Based on these insights, you will formulate design rules to predict optimal loading conditions and release mechanisms, supporting experimental optimization. We expect you to be able to work with a high
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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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candidate to work on the development and optimization of surface coatings for bioresorbable coils. The project aims to develop a bioresorbable metallic and/or polymeric coils for the embolization
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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experiments. Develop and optimize sample preparation protocols including flash freezing/ chemical fixation of samples and cryo-sectioning. Process and analyze complex spatial metabolomics datasets. Lead
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, Mohammed VI Polytechnic University (UM6P) is launching a one-year postdoctoral research position. The project focuses on testing and optimizing treatment processes that use calcium carbonate-rich materials
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materials and production methods for prosthetic devices. Design and execute experiments to optimize the manufacturing process. Collaborate with multidisciplinary teams to integrate technological advancements
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(EU NIS-2 Directive), e.g., compliance optimization and automatization. The postdoctoral researchers will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program
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2 Postdoctoral Researcher in separation/Catalysis and Process Engineering Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical