37 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs at UNIVERSITY OF HELSINKI
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, the ability to produce learning materials, other merits achieved in teaching as well as a teaching demonstration if necessary. Scientific publications, other scientific activities and research funding obtained
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website at https://www.helsinki.fi/en/faculty-medicine/about-us/work-us How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button
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will be given to teaching experience, experience in positions of responsibility in teaching as well as pedagogical training, teaching development projects, the ability to produce learning materials
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relationships, eager to learn, and able to inspire and persuade collaborators both within the University and across its partner network. You work flexibly as part of a team while handling your responsibilities
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separate application. If the appointee is not proficient in Finnish, they are expected to acquire intermediate level skills (CEFR level B2; https://europa.eu/europass/en/common-european-framework-reference
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teaching experience and pedagogical training, the ability to produce learning materials, additional teaching merits, a demonstration of teaching skills if required, and involvement in doctoral education
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international staff and/or about the university as an employer: https://www.helsinki.fi/en/university/working-at-the-university.https://www.helsinki.fi/en/university/working-at-the-university. . The Faculty
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(€) List of publications List of selected 20 publications Instructions, requirements for language skills and models are available on the Faculty’s website at https://www.helsinki.fi/en/faculty-medicine/about
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internationally recognised research and contribute to teaching at all levels in the relevant degree programmes. Key Responsibilities: Conduct high-quality research Teach and supervise students at the doctoral
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data library Apply diverse data science and machine learning methodologies, including the development of novel analytical approaches. Work and communicate efficiently in a highly interdisciplinary