328 computational-physics-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full-time position available for 3 years in the first instance
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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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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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. Applicants must hold a PhD in Chemistry or Physics (or be close to completion) or a relevant subject area to taking up the appointment. You will be expected to work well as a part of the team, and contribute
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. For additional information on the application process contact Minni Forss, HR Advisor minni.forss@aalto.fi . We will go through applications, and we may invite suitable candidates to interview already during
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tuberculosis . The post is full-time and available immediately. The post holder will be responsible for carrying out research within a defined area of an ongoing programme focused on metabolic profiling and
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using