149 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Imperial College London
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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, environmental sustainability and/or new frontiers of space, security and telecoms? Do you thrive in a complex, fast-paced environment and possess exceptional people management and influencing skills
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Applicants are invited to apply for a new vacancy at Postdoctoral Research Associate level in Surgical Vision and AI for intraoperative surgical navigation and computer-assisted diagnosis. The post
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effective lines of communication with all team members The candidate should have a PhD in molecular or cell biology, or a closely related discipline, or equivalent research, industrial or commercial
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of Undergraduate and Postgraduate teaching through lectures, seminars, course work, tutorials and personal supervision. You must have a PhD (or equivalent) in Engineering, Science, Mathematics, Statistics, Data
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, Management, Computer Science, Operations Research/Management, Statistics, Engineering; (degree to be obtained before September 2025). You should demonstrate capability for high-quality innovative research in
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to assimilate in-house expertise but also to gain further experience through collaborative work (on theory, computational chemistry, other spectroscopies, etc) elsewhere in Imperial, the UK, and abroad. The
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control