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QUALIFICATIONS: Bachelor's degree in related field PREFERRED QUALIFICATIONS: Knowledge of qualitative research methods Advanced skills in Microsoft Office (Word, Excel, Powerpoint) Excellent interpersonal skills
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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Research Assistant I. Research focuses on advanced surface engineering and laser-based manufacturing methods, with particular emphasis on the laser peening and laser machining. The goal of the project is to
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modelling. This exciting project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses (and bioanalysis) of life-saving pharmaceuticals
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framework will be used with advanced causal inference methods – including inverse probability weighting to construct a valid comparison group. The analysis will use the potential outcomes approach to address
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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development and refinement accordingly. We are looking for a highly organised, driven, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods
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Ascl1 are important. We have undertaken a comprehensive discovery experiment to identify all the proteins that can physically interact with Ascl1, using a method we developed called RIME (Rapid
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number MBE_1 Is the Job related to staff position within a Research Infrastructure? No Offer
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Deadline extended: 30 October 2025 (originally 29 September 2025) A fully funded 3-year PhD is available in the School of Computer Science and Engineering (SCSE), Bangor University. The project will