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quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial
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large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering
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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 biotechnology in
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering
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advanced machine learning and statistical methods, strong analytical skills and solid programming experience, very good English communication skills, both written and spoken, the ability to work
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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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, Environmental Science, or a related field Very good understanding of crop diversification practices and soil health Experience working with field experiments in agricultural systems Excellent communication skills
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: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative