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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 8 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
++ and/or Python;, - research and development experience in the field of computer networks;, - solid knowledge on PHY rata adaptation algorithms for Wi-Fi networks., Research Topic #2 – Semantic
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 5
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20 Dec 2025 Job Information Organisation/Company INESC TEC Research Field Engineering Computer science Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 31 Jan
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Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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domain in the design of deep learning algorithms for cardiovascular disease detection. 4. REQUIRED PROFILE: Admission requirements: Master’s degree in Biomedical Engineering, Computer Engineering
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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 12 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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26 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 12 Dec
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Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with