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may also explore embedding these new computational methods into optimisation and machine learning contexts. The new computational techniques developed will be geared towards the following key
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. Experience in computer programming and design would be essential. Experience in one or more of the following: Image analysis Matlab and Python programming Machine Learning Fluency and clarity in spoken English
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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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Royal Holloway, University of London | Kingston upon Thames, England | United Kingdom | about 5 hours ago
to completion of the PhD programme. The DTP will reserve up to 3 ring-fenced scholarships for home students from certain Black, Asian & Minority Ethnic groups. The eligibility criteria for these ring-fenced
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with
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the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
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developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and