79 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions in Portugal
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), indicating the ways in which the applicant’s profile may provide added value to the project; iv) Proof of enrollment in a PhD program; e) Supporting documents attesting to the experience acquired; v) Other
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 hour ago
Mecânica e Engenharia Industrial announces an open call for an open call for a PhD student in the scope of the Programme - COMPETE2030-FEDER-00631200 – 00631200/14617- LMMCODSS - Sistema de Apoio à decisão
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and optimisation algorithms, focusing on their practical application in the context of the RaceEngineerAI project. Tasks include: - Developing models capable of simulating the behaviour of racing
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First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 29 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Other Job Status Extra Information Offer
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Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 15 Oct 2025 - 17:00 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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potential research topics to improve the project results. Research topics may include interventions in public services, labor markets, marketing, and digital platforms, using large-scale data and algorithmic
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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. Given their importance, continuous monitoring and fault diagnostics are crucial—especially as machine learning algorithms play an increasingly prominent role in predictive maintenance and reliability