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Field
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. Applicants should hold, or be close to completion of, a PhD/DPhil in physics or a related discipline, ideally including plasma-based acceleration; have experience, knowledge, and interest in advanced
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properties. (For further information about the research group see webpage www.catenane.net). The successful applicant should have, or be working towards, a PhD in organic chemistry in the area of
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, and to participate in collaborative research projects. The project could be extended for an additional two years, depending on funding availability and performance. You will hold a relevant PhD/DPhil
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of group-funding applications for new research projects. You must hold a PhD/DPhil in physics, engineering, biotechnology, or biophysics, with post-qualification research experience in biophysics
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members of the research group including research assistants, PhD students, 3rd/4th year students, and/or project volunteers. This role is offered with full time hours, on a fixed-term basis for 1 year with
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS. The position requires a PhD in a relevant field, strong bioinformatics and
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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papers, and dissemination materials. Applicants must hold a PhD in Mechanical Engineering, Energy Systems, Thermal Sciences, or a closely related discipline, and have proven research experience in hybrid
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who enjoys cutting edge research in a fast-paced and intellectually stimulating environment. The role requires a relevant PhD (or close to completing) , excellent communication skills and a desire to