77 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at UNIVERSITY OF HELSINKI
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occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us
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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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unit of research and teaching in Educational Sciences and Teacher Education. The Faculty of Educational Sciences conducts research related to human growth, development and learning. Our research
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. The salary scale is 3 500–4 000 € per month, depending on the candidate’s experience and merits. Please read more why you should choose the University of Helsinki as your next place to work: https
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(HAIP; https://www.helsinki.fi/en/infrastructures/helsinki-vivo-animal-imaging ) as Diagnostic Imaging Service for Animals (DISA; https://www.helsinki.fi/en/infrastructures/helsinki-in-vivo-animal-imaging
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Teacher Education. The Faculty of Educational Sciences conducts research related to human growth, development and learning. Our research encompasses the different stages of the human life cycle, from early
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you should choose the University of Helsinki as your next place to work: https://www.helsinki.fi/en/about-us/careers/why-university-helsinki How to apply Please submit your application in English
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facility at the Institute of Biotechnology, University of Helsinki, part of the INSTRUCT-HILIFE structural biology platform (including the cryoEM, protein crystallization and biocomplex purification units
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practical small group teaching and lecture -based teaching primarily in the Master's Program in Organizational Psychology https://www.helsinki.fi/en/degree-programmes/organisational-psychology-masters
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motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details The doctoral researcher (PhD student) will be initially appointed for 2.5 years, on a fixed term