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mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES-Geral-CPES
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combine MRI, EEG/MEG, behavioural assessment, computational modelling and automated neuroanatomical phenotyping. The successful candidate will also become a member of the Vienna Doctoral School in Cognition
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recommendations for leadership. Experience implementing new HR policies, systems, programs, service models, or workforce initiatives in partnership with central HR or institutional leadership. Advanced knowledge
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). DOI: https://doi.org/10.54499/DUT/0007/2022
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of the PESTDISPLAT_2CAP project - Platforms for recording and modeling pests and diseases affecting crops in Macaronesia, under the following conditions: I. Scientific Area: Biological or Agricultural Sciences II