536 computer-science-programming-languages-"Prof"-"Prof" PhD positions in United Kingdom
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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. Experience with programming languages such as Python or R for scientific data analysis is desirable. Further Information: mattwjones.co.uk/research-team-and-open-positions . Entry Requirements At least UK
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would approach the project and what methods you would use. Under Campus, please select ‘Loughborough’ and select programme ‘Architecture, Building and Civil Engineering’. Please quote the advertised
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Department of Chemistry Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the Department of Chemistry. Eligibility: PGR applicants in the Department
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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of realising an optical-pump TeraHertz-probe polarisation-resolved near-field microscope, this PhD research programme will look at combining spintronic THz emitters and near-field photoconductive probes
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months
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system select Programme of Study – PhD Biochemistry. Please select ‘funding obtained’ and state the supervisor’s name where required. Candidates should have or expect to obtain a minimum 2:1 undergraduate
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Politics PhD Programme. Only then will you be invited to apply for the ESRC funding through the NWSSDTP. The deadline for the NWSSDTP funding application is 2nd February 2026 for the October 2026 programme
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, engineering, physical sciences, economics or any other field where evidence is provided of sufficient computing and mathematical background) solid experience of programming, machine learning methods and ideally