9 condition-monitoring-machine-learning Fellowship positions at University of Glasgow
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the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
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single crystal X-Ray analysis. The position will be to explore the self-assembly of simple compounds into complex systems using automated digital tools for synthesis, monitoring and analysis
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. The position will be to explore the self-assembly of simple compounds into complex systems using digital tools for synthesis, monitoring and analysis. The successful candidate will also be expected to contribute
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Immunity within the University of Glasgow. Teaching There will be no regular commitment to teaching but research fellows are encouraged to contribute to both problem-based learning and clinical teaching
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Committee regularly throughout the programme. Each institution will also have supervision and monitoring committee requirements that the student will also need to comply with. 4. In the final PhD year, post
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, solid phase synthesis, and molecular design . We are looking for someone with experience / wish to learn some of the following: complex chemical systems, reaction diffusion, analytical chemistry, chemical
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/methodologies/learning support A3. Specialist theoretical and practical knowledge of parasitology and immunology. A4. Knowledge of project-specific technical models, equipment, or techniques. Desirable: B1
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autoimmune conditions. E3. Training and experience in ultrasound for interventions/procedures E4. Willingness to develop skills in ultrasound-guided synovial biopsy techniques. E5. Demonstrable ability
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and with a history of managing complex engineering projects across academia and industry Closing date: 2 July 2025 Terms and Conditions Salary will be Grade 8, £49,559 - £57,422 per annum. This post is