35 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Umeå University
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working with associated techniques, such as bioprinting, is considered an asset. To be eligible for the position, the applicant must be able to analyze and interpret data, have excellent oral and written
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workplace meetings and staff days. More 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
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project is connected to the department’s research and supervisors. You will find more information about the doctoral training program here . As a PhD student, you formulate your own research plan in English
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university courses, grades and any additional certificates or attestations that are relevant to the project, Copy of degree thesis and any publications (maximum five), Names and contact information
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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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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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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