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the Innovation and Digital Transition Program (COMPETE 2030), Northern Regional Program (Norte 2030), funded by COMPETE2030-FEDER-00765100, through the Foundation for Science and Technology (FCT) - as a financing
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 3 months ago
. Implementing real-time data processing for dynamic updates of the Digital Twin. Using Artificial Intelligence for predictive analysis of wildfires. Designing user-centered decision-support tools to assist
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Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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for which the competition is opened (20%); c) The adequacy of the proposed programme for the institution (40%); d) The degree of innovation introduced (30%). 10.7. The weights associated with each criterion
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Starting Date 20 Oct 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 09/C06-i07/2024.P11721 Is the Job related to staff position within a Research
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computational simulations of materials and solutions using numerical methods; -Assist in the preparation of reports and scientific papers for the dissemination of results. V - Initial grant duration: 6 months V.I
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environments Sensory studies or affective computing 3D audio or spatial sound design Experience working in collaborative or interdisciplinary research settings Familiarity with digital tools for media analysis
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number APECHE_BI2 Is the Job related to staff position within a Research Infrastructure? No Offer
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Solution to Improve Care and Optimize Resources for Frequent Emergency Users”, (ref.ª 2024.07543.IACDC, financed by "RE-C05-i08.m04 – "Support the launch of a program of R&D projects aimed at the development
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architectures for explainable dual-process computation Design and development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve