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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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physics, with expertise spanning both observational studies and theoretical or computational modeling. It offers an international and collaborative work environment that values equality, diversity
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, Finland [map ] Subject Area: Mathematical Physics Starting Date: 2025/10/01 Salary Range: 3800-4050 euros/month Appl Deadline: 2025/08/15 11:59PM (posted 2025/07/10, listed until 2025/08/15) Position
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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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research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
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CV (max 3 pages) including a list of publications, and the names and contact information (e-mail, telephone number, relation to the applicant) of at least two references who have agreed to provide a
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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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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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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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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