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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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19 Mar 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Computer science Researcher Profile First
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processing of energy data. Orchestration of services using containers and microservices (Docker, Kubernetes). Optimization of communication networks using Software Defined Networking (SDN). Development
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the development of methods and models refinements, analyses, and optimizations for scale-grid TES integration and operation planning algorithm. RESTORATIVE consists of 17 PhD students at 7 universities and 4
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/Qualifications Requirements: Msc. degree in computer science, engineering, mathematics, or related areas. Strong skills in the areas of mathematical statistics, optimal control, stochastic processes. Relevant
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announced to carry out the following projects: “MELIORA: Multimodal Engagement and Sustainable Lifestyle Interventions Optimizing Breast Cancer Risk Reduction Supported by Artificial Intelligence” and the
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core of our platform. We want candidates with strong backgrounds in: Machine Learning & Optimization: Practical expertise in Gaussian Processes and Bayesian Optimization (BO). Experience with custom
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scaffolds (PLA-based) Optimization of additive manufacturing processes and scaffold design Study of scaffold degradation rates Application and optimization of piezoelectric ceramic coatings Development
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of the Universitat Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Data-driven network modeling and optimization https
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application development. We are seeking up to two Process Engineers or Research Scientists with hands-on experience in packaging and assembly of photonic integrated circuits (PICs). The selected candidates will