64 assistant-professor-computer-science-data PhD positions at University of Birmingham
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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections
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, stimulating neuronal function with opto- and thermo-genetics in vivo, recording and analysing fruit-fly behaviour, aided by computational data analyses tools. Visit: https://more.bham.ac.uk/hidalgo/ Funding
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, stimulating neuronal function with opto- and thermo-genetics in vivo, recording and analysing fruit-fly behaviour, aided by computational data analyses tools. Visit: https://more.bham.ac.uk/hidalgo/ Funding
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programme) clearly stating the title of the project and the name of the supervisor, Dr. Miguel Navarro-Cía (m.navarro-cia@bham.ac.uk ). Funding notes: Applications are sought from highly motivated students
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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Main description: Native mass spectrometry is an expanding structural biology tool to elucidate the function of protein complexes. Excitingly, the demand for this technology is increasing. However
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International Ocean Discovery Program (IODP) Expedition 395 (June-August 2023), has shown tipping point behaviour during the Pliocene in the deep-water return flow of the AMOC (Sinneseal et al. 2025). The aim
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the mechanisms by which genome rearrangements allow the bacterium to better infect the human host and persist in hospital settings. The project will be supervised by Professors David Grainger (UoB), Katie Hopkins