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identifying methods to optimize the position functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required
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and project developers in reusing them in new projects. Taking the Chalmers campus as a starting point, we are developing scalable, AI-powered methods, such as computer vision for street-view imagery
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of microstructures, physics-oriented microstructure descriptors discovery based on the use of RRAE (rank reduction autoencoders) and neural operator approaches designed to approximate the solution of complex
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
participate in the development of methods for the early detection of biotic and abiotic plant stress using remote sensing data acquired with unmanned aerial vehicles and multi-sensor systems. The tasks will
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are analysed using big data and business intelligence applications to monitor tourisms. Additionally, predictive modeling methods are applied to estimate tourist mobility behavior and movement patterns between
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: chemical sciences Vacancies/positions:1 Type of contract: full time Application deadline: April 26, 2026 Estimated date of the contest settlement: May 2026 Envisaged job starting date: May/June 2026 Period
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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and/or professional training in digital health and health innovation; b) Experience in applying mixed methodologies, including quantitative and qualitative methods; c) Knowledge of digital health