105 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" positions in Finland
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social research. This includes, for instance, supporting the development of AI strategies for qualitative analysis. RESPONSIBILITIES The candidate is expected to carry out their own research within
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opportunity to develop your professional skills in a versatile operating environment. You get a professional and inspiring team to support your work. We take care of your well-being at work and the
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. Benefits We offer you responsible and interesting tasks and the opportunity to develop your professional skills in a versatile operating environment. You get a professional and inspiring team to support your
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at the Faculty of Medicine or at the Faculty of Science or at the Faculty of Technology. The application period is from 29 August to 12 September 2025. DRD trains professionals for drug development and research
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Would you be interested in working at the interface between research and research administration, developing services that support research funding? We are currently looking for a fixed-term
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen , nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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providing tools and resources for developing highly scalable, safe, and efficient reusable packaging systems and its sub-applications. Reusify brings together key stakeholder organizations motivated in
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. The position is filled with a 6 month probationary period. This appointment is part of a project funded by the Alfred Kordelin Foundation's Major Cultural Project Grant, focusing on the development of novel deep
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-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from national databases in Europe. Utilizing
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) , University of Helsinki, is currently seeking a highly-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from