10 Computer-Science PhD positions at Swedish University of Agricultural Sciences in Sweden
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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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, molecular biology, bioinformatics or related areas Proficiency in English speaking and writing An analytical mind set and a keen interest in aquatic microbial ecology and phage genome evolution A strong track
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degree or similar in a technical field, e.g., Engineering Physics, Electrical Engineering, Computer science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge
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. As PhD student in Biology with specialization in Ecology, the student will carry out supervised research leading to a PhD thesis and take PhD courses (minimum 30 higher education credits
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The student will be based at the Dept of Ecology, part of the Ecology Centre of the Swedish University of Agricultural Sciences (SLU), in Uppsala. The student will join a stimulating and dynamic
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development of a program for environmental monitoring in waters affected by hydropower. This is done in collaboration with leading researchers in the field, as well as relevant authorities (County
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Department of Animal Biosciences. (HBIO) HBIO is part of the Faculty of Veterinary Medicine and Animal Sciences and is responsible for education, research and postgraduate studies in several basic
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on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be eligible, the candidate should hold at least a Master’s degree in economics or related field (e.g. agricultural
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a Master’s degree in economics or related field (e.g. agricultural economics, natural resource economics, forest economics), or a strong quantitative interdisciplinary program. Knowledge in natural