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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union representatives: https://internt.slu.se/en/my-employment/employee
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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UiO/Anders Lien 9th January 2026 Languages English English English PhD Research Fellow in statistics with focus on anomaly detection Apply for this job See advertisement Job description The
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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dataset construction. Applicants will: hold a PhD in a relevant discipline such as epidemiology, medical statistics, public health, data science, or similar, or equivalent qualifications; have extensive
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) will contribute to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and
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language teaching (mother tongue and second language) at UiT. It also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The project
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, you will develop new self-directed externally funded research projects, engaging students and forming collaborations in your joint research appointment with ACEP (https://www.uaf.edu/acep/), as
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
study design, data acquisition, statistical computation, and literature review and manuscript/grant preparation. This includes ability to work with the PI to develop and utilize a host of iPSC models