44 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at Umeå University
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one signed letter of recommendation from referees who are qualified to assess the applicant’s research competence, Contact information for two referees who are willing to act as references, Other
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comprehensive support for large‑scale multi‑omic data generation/analysis and transformation/embryogenesis services for functional validation. Nathaniel is also an associate group leader at the Science for Life
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information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the applicant must meet both general and specific
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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thus be extended up to a maximum of five years. The entry level salary is SEK 30,900 and rises in three steps to SEK 35,600. Additional information Doctoral students are affiliated with a research school
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explores novel methodological approaches using survey and register data. Work tasks The work will focus on exploring and developing quantitative approaches grounded in intersectionality theory and with
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of which four are doctoral students. For more information about the department, see www.umu.se/en/umea-school-of-architecture . UmArts supports interdisciplinary research across artistic and other academic
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advanced AI/LLM methods. The Staff Scientist will lead development of LLM-powered analysis and knowledge tools (e.g., retrieval-augmented generation over omics + literature, automated data-to-insight
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional