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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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decision support systems, validated against field measurements. The doctoral studies will be performed at the Department of Forest Ecology and Management at SLU in Umeå. The PhD student will have a permanent
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to promote high food quality, minimize losses throughout the value chain and allow nutrient recovery from alternative biomasses. In nutrition, we focus on human observational and intervention studies as
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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the Swedish Center for Sustainable Hydropower (SVC). SVC promotes collaborative research across universities and industry to support the future of hydropower. Simulations will be performed using resources from
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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of your research verbally and in writing The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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expected to perform both experimental and theoretical work within your research studies. Most of your working time will be devoted to your own research studies. In addition, you can have the opportunity
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of a researcher primarily comprise research. Teaching and pedagogical development work may be included in the duties, up to a maximum of 20% of the working hours. You will perform research with