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Reference: IT137-26-55 I - Legal admission requirements I.I - Grant Recipients: TStudents enrolled in a PhD program in Computer Engineering or similar fields, holding a Master's degree in the same scientific
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will be on remote collaborative physical work especially the real-time interaction among humans and between humans and a remote environment. The main challenge with such networked interactions is that
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Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient
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strong programming skills, experience in software architectures, distributed systems, and data analysis, as well as prior involvement in projects related to energy systems, sustainability, smart grids
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new method of producing CO2-free hydrogen from methane. As the lead researcher on this project, your primary tasks will be related to catalyst development, reactor design, synthesis, and
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: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings
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manage large-scale materials datasets. • Develop GNN architectures for predicting materials properties from atomic graphs. • Train and deploy machine-learned force fields for MD simulations and rapid
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Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 16 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 40
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. He serves as Co-Editor-in-Chief of Industrial Management Data Systems and as Associate Editor for Information Management and Decision Support Systems. For details, please refer to the link: https
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, please see: http://www.mn.uio.no/ifi/english/research/groups/ltg/ The successful applicant will benefit from close collaboration across disciplines and access to diverse application areas through the joint