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team of 12 technical staff. The mechanical workshop has a range of machinery including conventional workshop equipment (lathes, mills etc.) CNC machines, 3D printers and other tooling. The role holder is
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‑of‑the‑art computational featurisation with experimental reaction‑kinetics data to build a machine‑learning platform capable of predicting catalyst performance. This is an exciting, highly collaborative
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Role: Assistant Professor in Mathematics and Digital Learning Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: 24
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using
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) School of Mathematical and Computer Sciences FTE and working pattern: 1FTE, Full time - 35 hrs per week Location: Dubai Campus The School of Mathematical and Computer Sciences has been teaching both
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. Qualifications Minimum: Master’s degree in engineering or a related discipline (e.g., Mechanical, Electrical, Computer, Energy, Materials, Mechatronics). Preferred: PhD’s degree in a relevant field. Prior
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Role: Assistant Professor in Mathematics Directorate: School of Mathematical and Computer Sciences Salary: Grade 8 - £47,389 - £58,225 Contract Type: Full Time (1FTE), Open Ended Rewards and
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antenna design, preferably using CST MWS or ADS Momentum Machine Learning Desirable Criteria Hardware design, high frequency electronics, EMC/EMI. Programming, system integration, device communication, data
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to them. Communicate effectively at all levels, display excellent interpersonal skills and be able to work effectively within a team. Work under pressure Work flexibility, be prepared to learn and willing