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into innovative therapies that improve the lives of patients with diabetes and other chronic diseases. You will join a multidisciplinary laboratory focused on developing novel PET imaging probes and
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(XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and interpret complex 2D and 3D datasets. Working closely with the research lead and an
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-driven researchers with a strong grounding in behavioural epidemiology, digital health, or related disciplines to contribute to innovative research at the interface of wearable and sensor-based health
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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activities, including helping with literature review of the use of digital technology for people with mental illnesses. This is a full-time post (35 hours per week), and you will be offered a fixed term
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of fellows: nationality/ies: OTHER Selection process Comparative evaluation procedure based on qualifications and interview Website for additional job details https://www.unimib.it/lavora-noi/contratti-ricerca
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). • Proficiency in 3D rendering and game engine technologies (e.g., Unity, Unreal Engine, WebGL, Three.js) for digital twin visualization. • Familiarity with BIM standards (IFC, Revit) and spatial databases is a