41 bayesian-object-detection Postdoctoral positions at University of Oxford in United Kingdom
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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Radcliffe Hospital in Oxford, which contains state-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research
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key role in ensuring the efficient and effective delivery of the Programme’s objectives. You will have substantial experience in programme or project management, strong financial and organisational
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) in the UK and internationally. Provide leadership to a small events team, setting clear objectives and fostering a collaborative, creative and high-performance culture. Oversee all aspects of event
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the collaboration. You will work closely with Principal Investigators and industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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the neurobiological basis of obesity”. Please refer to Job Details for responsibilities, these can be find via the 'Apply' button above. Selection criteria: Hold, or be close to completion of, a bachelor’s degree
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photometry and interferometric scattering microscopy, we will explore novel illumination and detection strategies to enhance signal-to-noise ratios and improve the accuracy and precision for molecular