47 master-"https:" "https:" "https:" "https:" "UCL" Postdoctoral research jobs in Finland
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resources for research including LUMI supercomputer and close collaboration with companies and the ELLIS network. Read more and apply by February 9 at https://www.ellisinstitute.fi/postdoc-recruit-2026 Where
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the Finnish-language job announcement for further information: https://ats.talentadore.com/apply/tutkijatohtori-sustainable-rural-futures-hanke/m5npoR Department of History and Ethnology The Faculty
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fields. Your research can be theoretical, applied, or span both. Deadline February 9, 2026. Where to apply Website https://jobrxiv.org/job/ellis-institute-finland-27778-postdocs-in-machine-learn
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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ammonia. The applicant should: Hold a doctoral or master degree in relevant field such as physics or chemistry; Have good programming skills and interest in code development; Have excellent skills in
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spectroscopic sequencing of single proteins (RamanProSeq) ” that aims to develop Raman spectroscopic single-molecule protein sequencing technology capable of reading protein primary sequence at single-amino-acid
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collaborate effectively in large inter-disciplinary teams from different cultural backgrounds Strong ability to support Masters-level teaching in the human dimensions of natural resource management Strong
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-year extension. A six-month probationary period will be applied (standard in Finnish university employment contracts). Main responsibilities Depending on expertise and mutual interests, the postdoctoral
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. As our new Postdoctoral Researcher, your main responsibilities will include: identifying new stress-induced volatile organic compounds (VOC) precursors from vegetation studying the kinetic formation