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have used innovative research methods to characterize the acoustic metamaterial properties of scaled moth wings and showed that they have evolved in response to bat biosonar to provide acoustic
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will be a key member of our growing Digital Services Team, dedicated to driving the university’s mission of innovation in teaching, learning, and research through cutting-edge software technologies. What
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. Candidates must have a PhD in a quantitative subject, ideally in (geno)economics, statistical genetics, or a related discipline or be working towards one. They must have a keen interest in working across
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initiatives. A PhD in Sociology (or related). Experience of providing teaching in Sociology, to both small and large groups across undergraduate and postgraduate units. Proven ability to teach in the following
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, and sub-tomogram averaging. Lead developments of cryo-FIB-SEM methodology and data analysis Write / implement new software for cryoFIB-SEM and cryoET data analysis Collaborate with immunologists and
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formal presentation and/or publication of scientific research at a level that is appropriate for your current career stage. PhD (awarded or imminent) or equivalent in the biomedical sciences. Ability
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, these data, generated with suitable electronic structure methods, will underpin models for the accelerated optimisation of 3d element catalysts, validated experimentally. You will be a highly motivated
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. The successful applicant will work closely with a research technician, with support from the PI (line manager Dr Anu Goenka ) and wider team, to optimise novel methods for molecular microbial/viral
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. Strong IT skills with the ability to adopt new software or systems. Proven experience completing tasks to a high standard, with excellent attention to detail and a methodical approach. The ability to carry
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, undertake personal tutoring, perform a teaching-related administrative role in the School and contribute to SPAIS events and student experience initiatives. You have: A PhD in Sociology (or related