27 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Warsaw
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letter Current curriculum vitae Copy of PhD diploma A list of publications and conference presentations Signed information on the processing of personal data (https://bsp.adm.uw.edu.pl/wp-content/uploads
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attachments): personal questionnaire (located in the useful documents tab) https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ A CV detailing your current career path, a doctoral degree in humanities
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/month plus the additional annual remuneration, allowance for years of service. More information: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ . Eligibility criteria Required documents
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an email to wls@uw.edu.pl with the following documents (see the attachments): Candidate’s questionnaire (to be found under useful documents) https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ A
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of the competition announcement). Candidate’s Questionnaire for the position of academic teacher: https://polon.uw.edu.pl/wp-content/uploads/sites/221/2025/04/Kwestionariusz-osoby-kandydujacej-na-stanowisko-nauczyciel
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. The successful candidate will teach classes at the Faculty of Physics of the University of Warsaw in accordance with the position of university professor, amounting to 210 hours per year. We expect commitment
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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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). Candidate’s Questionnaire for the position of academic teacher: https://polon.uw.edu.pl/wp-content/uploads/sites/221/2025/04/Kwestionariusz-osoby-kandydujacej-na-stanowisko-nauczyciel-akademickiego-EN.docx Copy
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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational
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seminars, MA seminars and/or specialist classes. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be