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grant TWISST: Terahertz wave induced spin switching technology. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices characterised by very low
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institutes working at the interface of technology and life sciences. This is a unique opportunity to contribute to a research programme that is technique-agnostic, impact-driven, and unafraid to push
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of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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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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. 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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. Support engagement activities, onboarding contributors, coordinating exercises, and ensuring compliance with defence protocols. About you You will hold a PhD in Human-Machine Interaction, Computer Science
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computational semantics methods * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. Should the successful candidate
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Leader Requirements Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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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