18 Computer Science PhD positions at Swedish University of Agricultural Sciences in Sweden in Sweden
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A PhD student position in computational microbial ecology is available at the Department of forest mycology and plant pathology , Swedish University of Agricultural Sciences in Uppsala
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and other microorganisms and their role in forest and agricultural systems. Evolution in Phytophthora infestans Subject: Biology Project description: The aim of the project is to investigate
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. The PhD position is part of the research programme Mistra Food Futures, the largest research programme on sustainable and resilient food systems in Sweden. The programme is an established science-based
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science, LCA, food science, modeling and simulation, statistics, or machine learning. You will be able to complement your previous knowledge within the doctoral programme if you lack experience in some of
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research programme on sustainable and resilient food systems in Sweden. The programme is an established science-based knowledge platform, which actively works to encourage a transformation of the Swedish
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specialization in microbiology, microbial ecology, molecular biology, bioinformatics or related areas. Furthermore, it is required that you have; Proficiency in English speaking and writing Experience in multi
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that is economically, environmentally and socially sustainable, resilient and that delivers healthy diets. The programme is a collaboration between the Swedish University of Agricultural Sciences, Stockholm
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, environmentally and socially sustainable, resilient and that delivers healthy diets. The programme is a collaboration between the Swedish University of Agricultural Sciences, Stockholm Resilience Centre
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strategies towards bunt-free organic wheat” Research subject: Biology Description: Common bunt is a seed-borne fungal disease that poses a significant threat to organic wheat production. The project aims
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Sciences, Forest Inventory and Sampling, Forest Planning and Landscape Studies. The Department is also responsible for several environmental monitoring and assessment programs. The Division of Forest Remote