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monitoring and control. In this context, generative AI and foundation models offer promising approaches for developing trustworthy and scalable energy applications, including the generation of synthetic yet
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scientific programming and an excellent command of English. Advantages (but not required) Background in systems and control. For example, familiarity with stability analysis, state-space methods, jump-flow
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that employ novel virtual reality and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect
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needs to be balanced with stability and ease of synthesis. Current AI tools can explore vast chemical spaces but often suggest molecules that are unstable or hard to make. This project develops a
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. This framework offers a new perspective on time-dependent density-functional theory and its current-density extension, with the potential to enable improved functionals capable of capturing nonlocal correlation
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environments. More specifically, this PhD project belongs to the research theme "Radiolysis at Interfaces", currently developed within the MATICE group. The work will be conducted in close interaction with
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. By employing and advancing existing cell culture model systems, combined with state-of-the-art readouts including transcriptomics, epigenomics, metabolomics, flow cytometry and imaging, this project
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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Laboratory Animal Research Assistant (Full-Time/Contractual 2) - (260000W7) University of Maryland, Baltimore (UMB) Department of Neurosurgery is currently seeking an Assistant, Laboratory Animal
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Development Incentives system (SIID), regulated by Ordinance No. 328 B/2023 of October 30, in its current version and under the terms of Notice MPr-2023-7 - SIID-R&D Empresarial - Co-promotion Operations