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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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11 Dec 2025 Job Information Organisation/Company University Miguel Hernandez Department Bioengineering Institute Research Field Neurosciences » Neurophysiology Computer science » Modelling tools
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, and model validity. This project is a collaboration between the Department of Biological Psychology (Prof. dr. Meike Bartels & dr. Dirk Pelt) and the Department of Computer Science, AI research
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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Position Summary Prof. Philip Crowley of the Theory Center for Non-equilibrium Phenomena in the Department of Physics and Astronomy at Michigan State University invites applications for a three
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automated machines to reinvent the concepts of chemical synthesis. The research program ChemAI led by Prof. F.-X. Felpin aims to develop a fully integrated flow platform designed to autonomously work
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computer science, with publications in international journals and/or in proceedings of international conferences Contact(s) for information on the position (identity, position, e-mail address, telephone) : Prof
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Prof. M. Fernando Gonzalez-Zalba, a multidisciplinary and dynamic research team passionate about building a scalable quantum computer based on silicon technology. Moreover, the PhD will have a strong
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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative