14 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" Postdoctoral positions at Swedish University of Agricultural Sciences
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organic chemistry, biochemistry, natural product chemistry, food science, and microbiology. Visit us at https://www.slu.se/institutioner/molekylara-vetenskaper/ About the position We are seeking a motivated
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modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring of individual cows. The work includes
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evaluates adaptive and transformative management approaches. Research will assess vulnerability and resilience across forest types, considering stand structure, species composition, management legacy, and
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of scientific publishing (peer-reviewed papers) and communicating results at conferences; ability to write and orally communicate clearly in English. Strong project-execution abilities: independence, structured
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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Collection Framework for Swedish commercial fish stocks. The research investigates potential assessment approaches for determining the age- and size structure of analytically assessed and data-limited stocks
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The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Employment: Fixed-term employment, 2 years, with the possibility of extension Extent: 100
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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