58 algorithm-development-"Multiple"-"Prof"-"University-of-South-Eastern-Norway" positions in Finland
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen, nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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social research. This includes, for instance, supporting the development of AI strategies for qualitative analysis. RESPONSIBILITIES The candidate is expected to carry out their own research within
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen , nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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genomic data from hundreds of thousands of individuals participating in Finnish biobanks. Our mission is to improve health by exploring mechanisms of health and disease, with the aim to develop new
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, supervision of theses, and other pedagogical merits Leadership and interaction skills The applicant’s vision for developing the field and its research agenda The statements of external evaluators
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spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser
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of undergraduate and postgraduate students and teaching on Bachelor’s and Master’s courses related to the field of the position. Active participation in long-term curriculum development is expected, in particular in
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for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored