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will conduct econometric analyses using register-based firm-level data, contribute to the design and implementation of empirical research, prepare peer-reviewed journal articles aimed at publication in
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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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all registered Finnish firms and legal farms. The postdoctoral researcher will conduct econometric analyses using register-based firm-level data, contribute to the design and implementation of empirical
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Principal investigator, Associate Professor Kimmo Kartasalo. Responsibilities Lead the design, development, and implementation of novel computational approaches for robust, explainable and fair medical AI
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using the guidelines of the Research Council of Finland . Degree certificate (highest degree). Research plan Applicants are kindly asked to submit their applications using the online application form by
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the History, Culture and Communications Unit at the Faculty of Humanities, the University of Oulu. The hired researchers will develop and implement their own research plan in the specified research area and
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university of the visit. Applicants should include a brief plan for potential visits in their application. We are open to research backgrounds in both academic and industrial environments. Your role and goals
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, proteins) in the nanopores such as: Design and fabricate glass nanopipettes and characterise them by biomolecule translocation; Design, fabricate and characterize plasmonic nanopores on the nanopipettes with
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: • Research competence (60%), including academic merits and scholarly publications in the relevant scientific field, relevance of the research plan, previous participation in research projects and requested
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research plan, awards) Further information Home page of the research group: http://www.utu.fi/cyber For further information about the position, please contact: Associate Professor Kaitai Liang, kaitai.liang