8 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Universidade do Porto – HR in Portugal
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: https://app.apply.up.pt Ref. BOLS-FFUP-26-4. 11.3. The application must be accompanied by documents proving the conditions set out in this Notice, namely: a) Curriculum vitae, indicating full name
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). 11.2. Applications must be formalized in the online application submission system, available on the APPLY webpage: https://app.apply.up.pt , Ref. BOLS-FFUP-26-5. 11.3. The application must be accompanied
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. Application Submission and Deadline: 11.1. Applications must be submitted by March 31, 2026 (Lisbon local time). 11.2.Candidates must register on the electronic platform https://www.apply.up.pt and submit
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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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for assessing Pedagogical Experience and Merit (VMP) – 20% CE1 — Production of pedagogical materials and participation in projects with impact on the teaching/learning process Quality and quantity of pedagogical
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of teachers and education professionals in these fields; digital technologies in teaching and learning processes, including knowledge of online teaching methodologies and new pedagogical approaches
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/learning process, as well as the quality of service provided in pre- and postgraduate training, pedagogical material produced, publications or conferences of a pedagogical nature, intervention in
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lifelong learning for graduates with initiatives in this area of knowledge. Research activities will be carried out at the Associated Energy, Transport and Aeronautics Laboratory (LAETA). 4. Administrative