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or digital approaches: low-cost key-enablers for democratizing state-of-the-art healthcare globally. We realise this vision by combining fundamental research with systematic platform and assay development
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Engineering You must have high proficiency in both written and oral English We can not
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program(https://www.ntnu.edu/studies/phiv ) Very good English skills (both
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
are shortlisted for interview will be invited to apply for the relevant Bath PhD programme at a later date. Working conditions The successful candidate will be enrolled in the doctoral school atUniversity of BATH
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of three work years of the total term period must be dedicated to doctoral work.) For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program. You are expected
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. This project is funded through the Australian Government National Industry PhD Program and provides a unique opportunity to conduct cutting-edge AI research while working closely with industry to translate
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Location of PhD: Teagasc, Ashtown Food Research Centre, Dublin, Ireland University: University of Galway, Ireland Proposed start date: October 2026 or soon thereafter Funded PhD Project: EU, UK or