495 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in United Kingdom
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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opportunity to be part of an ambitious research programme developing new organoboron chemistry. The post is fixed term for 36 months, with a probationary period of one year. You will work in a collaborative and
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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device technology. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the European Innovation Accelerator, part of Horizon Europe, programme CoolbrAIn
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industrial partners spanning the semiconductor supply chain. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the ESA programme S2CANT, the EPSRC
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Fellowship programme focuses on the development of operando vibrational spectroscopy and optical/electron microscopy techniques to probe the reaction interfaces of Li/M-NRR. These methods will build intricate
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for Human Genetics. You will play a central role in an interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. You will play a central
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques