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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD position at Uppsala University. The Department of Information Technology
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
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the Job related to staff position within a Research Infrastructure? No Offer Description Two PhD positions in machine learning in our group. One funded by WASP---Wallenberg AI, Autonomous Systems and
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for laboratory safety. experience with basic IT tools for data analysis, documentation, and scientific writing (e.g., ChemDraw, Origin, or similar software) is beneficial. prior laboratory experience in synthetic
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duties listed above. Qualification requirements Applicants must have: A PhD or equivalent research qualification in physical geography, environmental sciences, or forest ecology Previous research
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-quality journals Attending project meetings Administration related to the work duties listed above. Qualification requirements Applicants must have: A PhD or equivalent research qualification in physical
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets