26 phd-position-in-computer-vision Postdoctoral positions at University of London in United-States
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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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
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research staff. There are around 1500 undergraduate and postgraduate students and 260 PhD students. These are supported by an administrative and technical staff team of 56. The staff and student body
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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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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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existing therapies. About You This project would be suitable for an individual with a PhD in immunology, cell biology, metabolism or related area. Candidates should have expertise in a range of cell biology
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the successful candidate for this position. Therefore, the appointable candidate will need to be eligible to work in the UK or have leave to remain in the UK and associated right to work for the duration
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haemostatic responses in ageing individuals. About You We seek outstanding, self-motivated, and ambitious junior researchers committed to pursuing a scientific career. Demonstrable knowledge and a PhD (or close