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initially, with possibility of extension. Although the post is particularly well-suited to candidates who ultimately plan to pursue a PhD, we ask applicants to commit to at least 12 months in the role so that
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Chemistry, Physics, Chemical Engineering or Material Science. Solid knowledge in Physical Chemistry and Surface Science. Pre-knowledge on programming and Molecular Simulations (MD or MC) are desirable. Only
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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. Programming hardware control and user interfaces for data capture, and automation to enable these techniques. Writing and publishing journal papers on experimental findings. Playing an active role in the day-to
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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highly desirable: Ability to program in Matlab, Python or similar Strong laboratory-based skills Application Procedure Informal enquiries are encouraged and should be addressed to Prof Daniel Eakins
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within the Centre for Digital Innovations in Health & Social Care, you will join an active research centre and will be collaborating with researchers as part of a programme of research concerned with
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Kidney Essentials: CKD, an avatar-led training programme for people with CKD, aiming to improve patient knowledge, self-management, and encourage healthier lifestyle behaviours. In West Yorkshire, GPs have
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will be complimented with a comprehensive cohort training and employability development programme. About this Project Year 1 MSc Course: MSc Robotics Year 2 – 4 PhD Location: University of Manchester
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with