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collaboration with Associate Professor Oscar Kjell. The project is funded by the Tiny Blue Dot Foundation. Work duties The doctoral programme in psychology comprises 240 credits, corresponding to four years
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working work with hydrogen supply systems, supported by competent
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multiphase flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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respect and care in our relations with one another and strive for a workplace that is perceived as developmental and stimulating for all employees. We continuously work to create conditions for job
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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quantitative skills (e.g., R, stock assessment models, statistical analysis). • Proficiency in English and French (Tahitian a strong asset). Place of work: Umeå Forms for funding or employment: Employment 4
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electronics, power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in
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stimulating for all employees. We continuously work to create conditions for job satisfaction, development, and participation for all employees. We safeguard both physical safety and the psychosocial work