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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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developed in our labs show great promise in reducing infections and controlling host response in the clinic. We recently added the use of micro topography to provide a synergistic stimulus to tackle
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initiatives Travel opportunities to visit international partners and attend conferences What you should have: A good first degree (BEng/BSc with 1st or 2.1) in Robotics, Mechatronics, Control, Mechanical
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of developing hardware. Practical experience with optical fibres. Proficiency in writing instrument control and data analysis software (e.g., C/C++, Python or MATLAB). Excellent verbal and written communication
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melt quality control of aluminium melt for optimisation. • High pressure dye casting of aluminium alloys. • Microstructure and mechanical properties of die casting samples. • Understand
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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an accessible way to a range of audiences. Please be aware that this role may be subject to both security and export control restrictions. These restrictions mean that enhanced checks may be required, and factors
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contemporary controls on aeolian processes in desert environments. Due to the research needs within the group preference may be given to candidates with specific expertise in aeolian dust emissions, especially
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to support model-based control of Deep Brain Stimulation (DBS) and personalised treatment strategies for Parkinson's disease. Develop and optimise scalable data processing pipelines, including GPU acceleration
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equipment: including TV studio cameras & control room equipment and radio studio equipment. Person Specification Educated to degree level level or equivalent Experience of working in Further Education or