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student to conduct cutting edge research of the AI techniques and reinforcement learning, a technology which has powered many of the recent groundbreaking self-guided game engines and large language models
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for electromagnetic analysis and optimization is desirable. The successful candidate should demonstrate excellent analytical and problem-solving skills, along with exceptional communication and teamwork abilities
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in both technical and potentially non-technical skills of medical staff, such as poor team dynamics, problems with communication and a lack of leadership. This automated obtained data can then be fed
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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. The student will also gain experience in using ultra-high vacuum apparatus, data processing and scientific programming, as well as training in more general skills such as scientific communication, project
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-personal communications skills. Desirable skills: Master in Epidemiology or Public Health with experience in medical statistical analyses, strong understanding of the strengths and weaknesses of scientific
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at international conferences, enabling you to directly share your findings with the global research community. Who we are looking for We are looking for an enthusiastic, self-motivated candidate, with a 1st or high
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not have English as a first language. Application Process: Applications to be informally made direct to the division/supervisor first. Post interview, application to be made through the MyNottingham
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also have knowledge and experience in building science and technology, and be interested in low carbon buildings, indoor air quality and general sustainability. Good writing and communication skills
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
for all Postgraduate Researchers (PGRs) creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working