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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership
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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be
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studies using kidney cell culture models to investigate receptor–ligand interactions and endocytic pathways. Perform and optimize molecular, biochemical, and histological techniques, including
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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relevant microalgal strains with industrial potential. At UAntwerp, research focuses on optimizing cultivation processes with a specific emphasis on aerobic photomixotrophic metabolism, combining
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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optimal decision-making. This post-doctoral researcher position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral