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sufficiently fine numerical grids to resolve all relevant heterogeneous structures such as bubbles which requires excessive computational resources to research industrial scale processes. To overcome
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30 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile
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made by bank transfer. Selection procedure: The selection of fellows will be based on a curriculum evaluation (CE), which will focus on the candidate's merit, and an interview (I). The curriculum
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Park Federation of Classified Employees, Local 4789. Duties and Tasks (Essential Functions) Duty: Loan Processing Tasks include: Request, review, and load Master Promissory Notes (MPNs), Entrance
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programme Reference Number AE2026-0170 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0170
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approves the FCT Research Scholarship Regulation, I.P. available on (https://www.iniav.pt/images/INIAV/Recursos-humanos/Bolsas_estagios/BE_2… ) pursuant to Decree-Law No. 123/2019 of August 28, which updated
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- Knowledge of techniques and methodologies related with digital accessibility, sound design, human-computer interaction and human-centred design (20%). VII.II- I – In the evaluation of the interview
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the preparation and implementation of experiments investigating spatial summation of pain. Recruit study participants and organize the research process in accordance with ISO standards. Conduct experimental studies
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 18 hours ago
of digital platforms for data visualization, text analysis, and computational research and serves as a referral point for campus support • Identifies, gathers, processes, and maintains data to document and
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principles (k-space, pulse sequences, image reconstruction) Prior experience with MRI data analysis or medical image processing Familiarity with deep learning for image segmentation or detection tasks