78 data-"https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Umeå University in Sweden
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and phylogenetic constraints on mycorrhizal strategies. In this project the PhD will combine controlled plant–fungus experiments with microscopy, physiological measurements, and quantitative data
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evaluated and validated using uniquely integrated historical datasets comprising environmental, social, demographic, mobility, and epidemiological information. The successful candidate will contribute to a
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, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
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research competence, Contact information for two referees who are willing to act as references, Other documents that the applicant wishes to claim. The application, including attached documents, must be
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing
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application must contain the following documents written in English or Swedish: A CV with information on education, a list of previous and current employments, and a list of publications. Copies of degree
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to SEK 35,600. Additional information Doctoral students are affiliated with a research school, normally the Faculty of Arts and Humanities Doctoral College . The studies are coordinated with the doctoral
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information of two reference persons. Copies of relevant BA and MA theses and other relevant publications. A letter that states your motivation for undertaking research training leading to a PhD, and that
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collaboration with industry. For information on relevant background research, please refer to our earlier publications: doi.org/10.1038/s41467-025-55954-3 and doi.org/10.1002/ente.201402201 and doi.org/10.1038
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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