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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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engineering Engineering » Other Mathematics » Applied mathematics Physics » Applied physics Physics » Other Researcher Profile First Stage Researcher (R1) Application Deadline 4 Oct 2026 - 21:59 (UTC) Country
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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in Enschede, the Netherlands. You will carry out the research at the University of Twente, with
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, Mathematics/Statistics or a closely related subject PhD nearing completion in Computer Science, Engineering, Mathematics/Statistics or a closely related subject In addition for Research Associate A PhD awarded
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher...
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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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for a highly enthusiastic and motivated student with - a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent; - a solid background in numerical analysis of differential