471 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs in United Kingdom
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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of adsorption processes, and how these may be exploited to generate desirable transport characteristics. The research is funded by a UKRI Frontier Research Guarantee Grant. More information about the research and
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of chromosomal mutations in bacteria; isolation of proteins expressed at native levels; proteomics and the analysis of proteomics data; high throughput genomic methods; the investigation of protein transport
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information This role is fixed term for 48 months with a proposed start date of 06/04/2026. For an informal discussion about the role please contact Scott Lovell at sdl35@bath.ac.uk. We consider ourselves to be
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writing up the research, therefore good communication and writing skills are essential. Additional information: Interviews are planned for 17th March 2026. For further information and details of how
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in the supervision of students, deliver seminars, and be involved in writing up the research, therefore good communication and writing skills are essential. Additional information: Interviews
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develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
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. Developed at the University of Cambridge, Tessera enables highly efficient extraction of temporal patterns from Earth observation data, which we aim to use to track recent changes in landscapes managed
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis