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optimisation, and business case analysis, tailored to real-world industrial partner sites. The project will be delivered in close collaboration with Loughborough University, Heriot-Watt University, and three
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. Familiarity with cloud (AWS, Azure, or GCP) and on-premises environments. Experience with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD pipelines (e.g., Jenkins, GitLab). Strong stakeholder
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on the online programme application and supporting documents. Application form Additional documentation Your full online application must include; A 1,500 word PhD research proposal. Times New Roman, Font
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postgraduate demonstrators. It is envisaged that the post holder will provide support for marking student work as and when required. The successful candidate will hold a relevant PhD in a Biomedical Sciences
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empower students with a tailored learning experience, combining flexibility and cutting-edge digital tools to meet their goals and aspirations. The Department of Computer Science is leading the way in
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patient cohorts, geometric deep learning, computational anatomy, cardiovascular modelling, multimodal datasets. What you’ll need Applicants should have a PhD (or nearing completion) in computational imaging
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behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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of FGFR1/KLB to prevent cardiac microvascular impairment and pathological remodelling in response to metabolic stress’. We are recruiting highly motivated staff with a PhD degree (or expected to receive a