247 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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the discipline to work effectively within the research programme. You will also have the ability to work independently and have excellent communication skills. This is a full time (part time considered), fixed
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for steel metallurgy, electromagnetic sensing, and high-temperature experimentation. It will run alongside the major UK research programme Frontiers in Electromagnetic Non-Destructive Evaluation Research
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Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer
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particular emphasis on applications from psychology, cognitive science and computer science, and the candidate will be encouraged to engage in interdisciplinary collaboration and communication. We are looking
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to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
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Specified use The awards are available on a competitive basis for candidates joining the PhD Accounting & Finance, PhD Business & Management or PhD Science, Technology & Innovation Policy programme at
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information may be integrated with other forms of farm data to improve the reliability of automated welfare assessment. The successful candidate will undertake a structured training programme at the start of