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complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
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? Applications with a CV, cover letter and academic transcripts should be sent to Dr Abdelkhalick Mohammad. Suitable applicants will be interviewed, and if successful, invited to make a formal application. Do not
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. Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to Dr Xin Dong. Suitable applicants will be interviewed, and if successful, invited to make a formal
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their degrees in July 2025 are also encouraged to apply. Due to the nature of funding, only UK applicants can be considered for this position. Interested in this studentship? Applications with a CV, cover letter
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of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge
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to applicants with a first-class or upper second-class degree (or equivalent) in any Engineering discipline, Physics or Maths. Please apply by submitting your CV, cover letter and transcript to
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://www.brookes.ac.uk/students/isat/ for further information Closing date: Friday 19 September 2025 Start Date: January 2026 Project Title: Nigel Groome Studentship: Exploring Human Immunity and Microbiome Interplay with
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delivered in routine practice for people with alcohol and drug dependence. This will be a large-scale longitudinal cohort study using national registry data on employment and health. A target trial emulation
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are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. The start date is 1st October 2025. Visualising data
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing