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About us: This post is one of several new appointments in the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create
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to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in
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of heterogeneous research data and computational models across disciplinary domains. Particular attention will be given to the development of human-centred and knowledge-centric digital twins. In this context
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systems, and Digital Twin architectures. We hope that you will consider becoming the newest member of the M-CAML team. Responsibilities* - Conduct a comprehensive literature review and extract relevant data
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goals: Conduct a systematic literature review on the use of digital health technologies (DHTs)- in drug clinical trials. Conduct in-depth characterization of select digitally-derived endpoints drawn from
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propagation, and links between prior wear and final failure. Where feasible, 4D tomography and digital volume correlation will quantify deformation and strain localisation in collaboration with Lund University
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to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in
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research on 3D reconstruction and generation, 3D digital human modeling, and video synthesis/editing. Publish research outcomes in top-tier journals and conferences. Mentor and supervise junior researchers
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of counselling practices and support systems Digital and technology-supported counselling and supervision We welcome innovative and methodologically rigorous projects that advance knowledge and practice in
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Postdoctoral Fellow in Machine Learning and Digital Health Services for Frail Older People Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile