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Primary Supervisor - Dr Martin Taylor Scientific Background Mimicry—where species share similar colour patterns to signal unpalatability—is one of the most striking examples of natural selection in
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modelling). Join a supportive, interdisciplinary team and a sector-connected CDT to produce actionable science on one of the most urgent, yet solvable, human impacts on rivers. Entry requirements: Applicants
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computational scientific support and funding to attend conferences, preparing the student for any career of their choice. For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry
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of genomics and bioinformatics, giving the student access to cutting-edge training opportunities in coding, data science and fundamental principles of computational analysis. The student will receive
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structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
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The UCL EPSRC Landscape Award (UELA) is recruiting 50 fully funded, 4-year PhD studentships. You can apply for any of the projects offered through the UELA project catalogue (over 100 projects). The project selection covers the range of the EPSRC themes which include topics such as Energy and...
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Heriot-Watt University invites applications for funded PhD studentships in Social Science starting in October 2026. The Scottish Graduate School of Social Science Doctoral Training Partnership
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and research background in a range of fields relating to colloid and interface science, biointerfaces and biomaterials underlining the interactions of biocides with microbial and host membranes
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satisfactory progress. Qualifications You need a 2:1 undergraduate degree (or equivalent qualifications gained outside the UK) in a relevant field such as Psychology, Neuroscience, Cognitive Science, Computer
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in Geography, Environmental Science, Computer Science, or Engineering. A relevant master’s degree and/or experience