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Sini Laakso’s lab Autoimmune Neurology at the Translational Immunology Research Program at University of Helsinki, Faculty of Medicine invites applications for the position of POSTDOCTORAL
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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competencies. Role Requirements A Master’s or Doctoral degree preferably in psychology, cognitive science, computer science, or a related field. Meticulous work ethic and excellent time management. Prior
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forest sciences degree programs and in the university-level Liberal Arts and Sciences (LAS) program. The Department of Forest Sciences offers the LAS program "Resource management of global forests" study
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group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms
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. The role includes teaching in the Bachelor’s Programme in the Languages and Literatures of Finland, the Master’s Programme in Finnish and Finno-Ugrian Studies, the Master’s Programme in Linguistic Diversity
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational
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Assistant Professor/Associate Professor or Professor in Ecological Restoration of Urban Environments
-sciences ) is Finland’s premier hub for environmental and life science research and education. The position is based in the Ecosystems and Environment Research Programme, which is one of the three Research
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. There will be a six-month trial period for the position. The appointee will be responsible for teaching in Russian as the first language in the Bachelor’s Programme in Languages. They will also give courses in
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and