29 coding "https:" "https:" "https:" "Universitätsklinikum Hamburg Eppendorf" PhD positions at Swedish University of Agricultural Sciences
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or population genetics theory Evidence of technical skills and interest (e.g., writing code, using git, HPC experience) Understanding of basic statistical methods Demonstrated ability to review and synthesize
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interest (e.g., writing code, using git, HPC experience) Understanding of basic statistical methods Demonstrated ability to review and synthesize literature into scientific concepts About us The Department
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. Uppsala has two universities and with more than 50,000 students, a vibrant reserach-oriented student atmosphere. More information about the department/division: https://www.slu.se/institutioner/vaxtbiologi
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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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/forskarutbildning/. Form of employment / Funding Employment as a
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research station - an infrastructure for long-term and experimental research on cropping systems and agroecological practices. Read more about staff benefits and life as an SLU employee on https://www.slu.se
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restoration ecology (see https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ ). The department has many international employees and well-established
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Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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benefits and life as an SLU employee on https://www.slu.se/en/about-slu/work-at-slu/ . Read more about third-cycle courses and study programmes on https://www.slu.se/en/study/programmes-courses/doctoral
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical