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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science, Electrical and Space Engineering at Luleå University
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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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applied economics or a related field (e.g. agricultural economics, agribusiness, natural resource economics, forest economics, behavioral economics), or a strong quantitative interdisciplinary program
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Engineering, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral
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provides a strong foundation in computational biology, scientific programming, quantitative modeling, and data-driven life science—competences that are increasingly central in biotechnology, pharmaceutical
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requirements for the third-cycle courses and study programme in applied economics. To meet the specific entry requirements, you must have the equivalent knowledge to a minimum of 60 HEC in economics subject
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infrastructure with state-of-the-art equipment with qualified support from staff scientists. The department also hosts the Bachelor's degree programme in chemistry and three Master's programmes: analytical
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- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a duration of normally four years’ full
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Engineering and Security (SES) group, both at the Department of Computing Science, Umeå University. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program