306 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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. You will maintain confidentiality regarding research data when interacting with non-collaborating researchers. It is essential that you hold a BSc degree, and are UK GMC registered Medical Practitioner
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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biological inspiration to investigate self-reconfiguration, self-healing, self-repair/community repair, and design for SE for autonomous robotic systems. gathering experimental results and presenting data as
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical