30 linked-data-"https:" "https:" "https:" "Stanford University" research jobs at UNIVERSITY OF HELSINKI
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function are causally linked to neurodegeneration and age-related pathology. We use integrative multiscale approaches to define the mechanistic interplay between autophagy and metabolism and determine how
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and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff . A diverse and equitable study and work culture is important to us
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structured data sets within a joint species distribution modelling framework. For more information, see: https://www.helsinki.fi/en/researchgroups/research-centre-for-ecological-change . The Department
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energy systems. A consortium of leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found
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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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duration of 1/8/2026-31/7/2028 or as agreed. The position is part of Helsinki GSE activities on Data Room related research. The Data Room is an independent unit at VATT Institute for Economic Research, with
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with the required documents, through the University of Helsinki Recruitment System via the link “Apply now” (“Hae nyt”). Applicants who are currently employed by the University of Helsinki are requested to submit
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-edge expertise in vascular-, tumor-, immunological- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and Vaahtomeri research group can be found here
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of the appointed researcher is - jointly with the research team - to design and conduct quantitative research, mostly on longitudinal register-based data on autoimmune diseases. Additionally, the researcher is
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linking terrestrial and aquatic communities remain poorly understood. This doctoral position is part of the TRACE – Trait Responses Across Connected Ecosystems project (2025–2028), funded by the Research