206 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD positions in Sweden
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Agroecological Performance Assessment Research subject: Crop production science Description: Assessing how
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equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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-time. Your qualifications You have graduated at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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19 Jan 2026 Job Information Organisation/Company Luleå university of technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 22 Feb 2026 - 12:00
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application! We are announcing a PhD student position in Computer Science within CUGS Research School in a joint effort with Cybercampus Sweden , formally based at the division for Cybersecurity at Department
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duties, up to a maximum of 20 per cent of full-time. Your qualifications To be employed as a PhD student you need to have completed a degree at Master’s level in Electrical Engineering, Computer Science
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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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