165 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs in Portugal
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fellowship: Novel microfluidics and machine learning tools for unravelling environmental microbiomes Within the remit of the ERA Chair project REACTORS 5.0 “Sustainable REACTOR and microreactor designS
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 20 hours ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who
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), of the Polytechnic of Leiria Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Application Deadline 6 Mar 2026 - 23:59 (Europe/Lisbon
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-based robot for inclusive education”, “2024.15729.PEX”, “DOI: https://doi.org/10.54499/2024.15729.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 20 hours ago
to the Regulations for Research Grants of LIP and FCT and to the Status of Scientific Research Fellow (Law nº 40/2004 de 18 de Agosto, and its successive amendments). https://files.diariodarepublica.pt/2s/2019/12
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 20 hours ago
of LIP and FCT and to the Status of Scientific Research Fellow (Law nº 40/2004 de 18 de Agosto, and its successive amendments). https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf https
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: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 40%; VII.II- I – In the evaluation of the interview, candidates' performance
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%; - Criterion 2: Scientific dissemination actions – 40%; - Criterion 3: Academic performance in courses within the fields of Programming, Artificial Intelligence, Machine Learning, or related areas – 20%; VII.II