44 bayesian-object-tracking Postdoctoral positions at University of Oxford in United Kingdom
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ability to manage your own academic research and associated activities. You will have excellent communication skills including a track record of contributing to publications and presentations. Experience
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experience in the field of Ribosome Biogenesis. Preference will be given to candidates with a proven track-record (e.g. relevant peer reviewed publications). Sufficient laboratory experience in basic molecular
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track-record in acquiring and analysing data from non-invasive brain stimulation and neuroimaging approaches (specifically [f]MRI and MRS) to drive this exciting and ambitious project. This post will
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data
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, learning and decision making, you will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using
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well as with industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually
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, applied mathematics, or related fields. The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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particular suited to a Post Doctoral Scientist who has established expertise and track record in cardiovascular disease, and could benefit from the sustained support of the BHF’s award to develop their career
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microscopy, as well as in developing approaches to track cell migration in the spleen in real time. Extensive experience with immunization and infection models is also essential. Experience in independently