198 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" uni jobs in Portugal
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the different study cycles, namely those involving the design and implementation of new structures and equipment aimed at improving teaching and learning processes in the area covered by the competition. III
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Bettencourt, nº9Geofield Contact City Lisboa Website https://www.ics.ulisboa.pt/eleicaodiretor Street Av. Prof. Anibal Bettencourt, n.º 9 Postal Code 1600-189 E-Mail eleicao.diretor@ics.ulisboa.pt STATUS
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6 Feb 2026 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Researcher Profile
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Reference Number AE2026-0059 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0059.pdf JOB
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the field of Biological Engineering available within the project “Machine learning-driven CD19 CAR T cell manufacturing for improved safety and efficacy in the treatment of hematologic cancers”, Ref
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physiological signals, with a focus on ECG, and to develop machine learning and deep learning methods for classifying clinical, health, and wellness findings. Supporting project management and research group
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projects, reform or improve existing projects and carry out projects with impact on the teaching/learning process, as well as the quality of service provided in pre- and postgraduate training, pedagogical
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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description of the pedagogical strategies, identification and justification of contents, bibliographical references, distribution of contact hours, teaching and learning methodologies and assessment criteria; A
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include the objectives, a description of the pedagogical strategies, identification and justification of contents, bibliographical references, distribution of contact hours, teaching and learning