36 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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to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of projects and
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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 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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courses to support their professional development. For staff on work visas, we also offer financial assistance towards visa renewal fees. Please visit our website to find out more about the Department
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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
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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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About the role This is an exciting opportunity to work at the forefront of a new area of research exploring the interaction between avian vision and collisions with anthropogenic objects