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to benefit from the doctoral-level education they will receive. The applicant should have a strong quantitative background, for example in statistics, mathematics, computer science, or a related field, very
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departmental duties, up to a maximum of 20 percent of full-time. Your qualifications You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical
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energy transitions at local, national or global scales. Energy Engineering is a part of the Division of Energy Science in the Department of Engineering Science and Mathematics, which is a subject-wide
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meritorious if you provide transcripts with documented coursework in algorithms, theory of computing, quantum computing, and discrete mathematics. provide published work on the design or analysis of modes
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Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) (https://www.uu.se/en/department/earth-sciences
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Computer science » Other Engineering » Control engineering Engineering » Systems engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Researcher Profile Recognised Researcher
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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engineering physics, nuclear engineering, applied physics, energy engineering, computational science, applied mathematics, statistics, machine learning or another area relevant to the project, or have completed
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level in computational mathematics and statistics, the applicant must have completed at least 90 ECTS credits within the subject of computational mathematics and statistics (including mathematical
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking