620 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
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belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought. (For example, whereas the belief that grass is
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational
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Theory and Machine Learning, can easily integrate into our team, independently contribute to current research, and work with responsibility for results. The research project is a collaboration between the
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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environment will provide you with unique development opportunities. This project is a part of a larger project which will involve two other postdocs and two PhD students in the coming years, within a Wellcome
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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31 August 2027. You should have obtained a PhD, or passed PhD viva, in Materials Science, Chemistry, Mechanical Engineering, or Chemical Engineering. If you are still awaiting your PhD to be awarded
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive