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to publish academic journal articles and a range of non-academic outputs. About You The successful candidate will hold a PhD, or be close to completion, or possess research qualifications and experience
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in data-driven medical technologies? Are you keen on being part of a vibrant research community, working closely together with a research team and assisting with the supervision of PhD candidates
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new studies, proposals and routes to impact, and collaborate closely with PhD students, postdocs, industrial partners and international collaborators to advance OPV towards terawatt‑scale deployment
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students and PhD students. This post is fixed-term for 2 years, to start no later than 1 January 2027. Applicants will have, or be close to completion of a PhD, together with relevant experience in the area
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, logic circuits and probabilistic circuits) publishing papers in leading AI/ML conferences and journals collaboration with project partners within BilAI supervision of Bachelor, Master and PhD projects
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analyzing experiments and presentation of results. Required Education: PhD in Materials Science and Engineering Desired Education: PhD in Materials Science and Engineering Required Experience: Extensive
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of the project we welcome applications from candidates who hold a PhD in a range of fields including Physics, Chemistry, Materials Science, Engineering. To apply for the position please follow the apply link and
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us King’s College London is one of the leading research-intensive Universities in UK and the World, committed to excellence across disciplines
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new studies, proposals and routes to impact, and collaborate closely with PhD students, postdocs, industrial partners and international collaborators to advance OPV towards terawatt‑scale deployment
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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees