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Process in the Interviews phase Project Title: Data-Driven Optimization of PtAg Hollow Nanocrystals Synthesis - Master's degree internship Group:Inorganic Nanoparticles Group, ICN2 Supervisor: Dr
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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop and optimize
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Salford Business School is seeking a talented and motivated Postdoctoral Research Fellow to join our interdisciplinary research team working at the forefront of sustainable energy systems. This is an exciting opportunity to contribute to a high-impact project focused on flexibility modelling and...
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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10 Jan 2026 Job Information Organisation/Company Università degli Studi di Padova - Dipartimento di Psicologia Generale Research Field Psychological sciences » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher...
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examines how digital twins, simulation-based multi-objective optimization, and AI-driven decision support systems can enable manufacturing industries to maintain stable production, optimize energy usage, and