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, or equivalent. They will have training and/or experience in ethnography, qualitative analysis, and the use of non-textual/sensory methods. Period following the completion of doctoral degree must not exceed three
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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets
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complement the scientific profile of the Molecular and Integrative Biosciences Research Programme: https://www.helsinki.fi/en/faculty-biological-and-environmental-sciences/research/molecular-and-integrative
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment
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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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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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. 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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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