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Field
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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17 Oct 2025 Job Information Organisation/Company Universitat Politècnica de València Research Field Computer science Engineering Technology Researcher Profile First Stage Researcher (R1) Positions
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 165143 Is the Job related to staff position within a Research Infrastructure? No Offer Description Automation
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/Qualifications Strong motivation to tackle challenging research problems. M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering Strong interest in applied optimization, AI/ML, algorithm
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optimization of QML algorithms Noise mitigation in relation to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge