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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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to work at Uppsala University. Duties The PhD student will carry out research in signal processing and machine learning with a strong emphasis on theoretical foundations. The PhD student will actively
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
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technology Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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Sciences at Uppsala University, with its approximately 100 co-workers. We conduct extensive PhD education and have about 30 PhD students. The research schools MIT, GRASS, Nord-IB and FIRE are connected
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Biochemistry structure and dynamics of photoreceptor proteins time-resolved serial crystallography
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engineering programs and master's programs. More information is available on our website. Duties Applications are sought from highly motivated PhD candidates to work in a project aimed at developing sustainable