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imprint lithography. The candidate will be based in the Department of engineering working in Prof Michael De Volder's group (http://www.nanomanufacturing.eng.cam.ac.uk/ ), and will collaborate closely with
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machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
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. Independence in learning and working, with documented research productivity. You will enroll in the PhD program (4 years) at the Faculty of Science, University of South Bohemia ( https://www.prf.jcu.cz/en
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The Vienna Doctoral School of Philosophy. For more information, see https://vd-philosophy.univie.ac.at/ The successful candidate will: finalize their dissertation agreement within 12-18 months; complete
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Campylobacter disease burden is assessed, identify drivers of change and possible interventions. You will explore how genomic diversity relates to clinical outcomes, whether machine‑learning approaches can
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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Job Purpose You will contribute to an ESRC Impact Acceleration Account project, titled: “Scaling educational and policy impact through co-designed digital and AI professional learning and
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. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at/ . Ready to be part of our team? Let’s shape
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: SAgE Find out more about our Research Institutes: https://www.ncl.ac.uk/ As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post