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Field
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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courses and study programme in Forest management are at least 90 credits in subjects relevant to forest management, of which at least 30 credits must be at second-cycle level. You must also meet the
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knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in Forest management
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2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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about staff benefits and life as an SLU employee on https://www.slu.se/om-slu/jobba-pa-slu/ Read more about third-cycle courses and study programmes on www.slu.se/utbildning/program-kurser
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to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 8 days ago
Stage Researcher (R1) Application Deadline 16 Oct 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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within the allotted time. Academic union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program