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interpretability, explainability, and verification methods with an emphasis on white box methods and control techniques using causality. The post holder will work on projects that bridge technical AI capabilities
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projects the Centre will be undertaking. This is an excellent opportunity to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a background in
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: Full Time (37.5 hours per week) About the role The Ranes lab are seeking a talented Postdoctoral Research Associate to investigate the molecular mechanisms driving the Wnt/beta-catenin signalling pathway
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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to Prof. Dong (Lilly) Liu (email: dong.liu@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 4th
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Postdoctoral Research Assistant, you will manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You
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Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency
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Contract type Fixed Term Contract (2 years) Hours Full time (37.5 hours) About the role The Voltaire Foundation is a busy and friendly research department within the Humanities Division, based at 99
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candidate will be part of our research team and involved in designing and implementing experiments, disseminating our work via writing research articles and giving oral presentations at conferences, and
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vaccine in readiness for future coronavirus pandemics. You will be expected to to carry out experimental work, including studies animal studies, to explore the potential of candidates identified in-silico