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. • Demonstrable experience in Artificial Intelligence (publications or code development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical
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to demonstrate an aptitude and passion for research and teaching in the field of mechanical engineering, with a focus on manufacturing processes, especially additive manufacturing technologies. They need to have
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2018 being imposed on them following the template: https://bip.pw.edu.pl/Praca-w-Politechnice/Wzory-dokumentow Selection process The recruitment procedure will be conducted in accordance with
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the competition for the position covered by the competition, together with the statement: “I consent to the processing of my personal data contained in the documents I have submitted by the Maria Skłodowska-Curie
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researcher in projects awarded in competitions organized by the NCN, NCBiR, ERC, or other national or international science‑funding agencies. Selection process The Competition Committee, appointed by
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documentation: max. 60 p.: academic achievements: max. 30 p. teaching experience: max. 25 p. organizational achievements: max. 5 p. 2) substantive evaluation of the interview process: max. 40 p. Total score: max
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to conduct teaching activities. Selection process 1. Teaching skills, including the ability to communicate knowledge to students in a clear, engaging, and inspiring manner. 2. Dissemination of innovative
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or will be the candidate's primary place of work 13. consent to the processing of personal data with the following content: "I consent to the processing of my personal data for the purposes
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to continuous professional development and the improvement of academic qualifications; Proficiency in Polish and English, both written and spoken. Selection process The competition is open to individuals who meet
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Evaluation Criteria Applicants should have: a PhD in life sciences, computer sciences, data science or a related discipline, an excellent publication record, demonstrated ability to conduct independent