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Travel ” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in
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is focussed on understanding the human tumour microenvironment (TME) and its role in cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of advanced
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. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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also runs an enormous amount of social groups and sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via
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great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181466 . You will be required to upload your curriculum vitae and a
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and experience: Essential criteria PhD in Neuroscience Experience in rodent stereotaxic surgeries. Experience in Electrophysiology recordings in vivo in rodents Experience in Electrophysiological signal
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recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is a full-time position and you will be offered a fixed term contract until the 1st September 2027
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181008 . You will be