1,325 computer-security-"https:"-"https:"-"https:"-"https:"-"BOCCONI-UNIVERSITY" PhD positions
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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in the UK, uptake of the NHS Diabetes Prevention Programme (NDPP) remains low. Approximately 11% of UK adults now live with type 2 diabetes, contributing substantially to primary care workload and
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British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Mechanical Engineering, Computer Science & IT, Data Analytics Keywords Optimisation, adaptive sampling, corrosion
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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD...
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outcomes. This PhD will deliver an original, staged programme of research evaluating the impact of routine medication exposure on immunotherapy outcomes. Melanoma will serve as the initial focus, with
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requirements for admission to the faculty's Doctoral Programme You must have strong experimental background in synthesis and functionalization of nanoparticles via bottom-up approaches or synthesis and
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete