11 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Swedish University of Agricultural Sciences in Sweden
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between SLU, Leibniz Institute for Agricultural Engineering and Bioeconomy (Germany), Inrae (France), University of Milan and Eurac Research (Italy), Ruralis (Norway), Universitat Politechnica de Valencia
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Department of Economics conducts research and teaches in both business administration and economics. Unique to the department is that great importance is placed on applied science, often in collaboration with
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also operates at research stations, experimental forests and teaching sites throughout Sweden. Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu
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of Applied Animal Science and Welfare Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24
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well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
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engineering, environmental science, or equivalent. Specialisation towards (i) chemical risk assessment in the environment and human health exposure, as well as (ii) chemical analysis using high resolution mass
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promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments/ecology/ More about working work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala, Sweden
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international research collaborations to generate cutting-edge research and outreach to further ecology as science and promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments
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, and production data in real farm environments. Work with economists and advisors to structure cost–benefit analyses of enrichment strategies. Structure and analyse large behavioural and physiological
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-genome and population structure analyses, genome-wide association studies (GWAS), and the integration of transcriptomic and phenotypic data to identify candidate genes linked to biocontrol traits