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after receiving the offer. The position’s field of research The increasing penetration of distributed energy resources, electric vehicles, and flexible loads is making distribution networks more dynamic
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the state of the art in the area of optimization applied to the energy area; - develop
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte formulations are expected to satisfy the strict requirements of high
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heterogeneity of their environments. For more details, please view https://idmxs.org/ . Key Responsibilities: Design, prototype, and optimize passive microfluidic cartridges integrating plasma-separation
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erythroid cells to generate cultured RBCs with enhanced functional properties for improved survival, altered immunological characteristics, and with novel cell-based therapeutic capabilities. The successful
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. Utilizing Drosophila, mouse, and human brain organoids as model systems, our research focuses on elucidating to neural stem cell proliferation, differentiation, and regeneration, as well as their implications
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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
the glycome of tumor neoantigens defines and modulates T cell functions in the colorectal cancer context, further exploring how the glycoreprogramming of neoantigens constitutes a novel opportunity to optimize