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Field
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welfare tradition illustrates the use of welfare technologies like fall alarms, cameras, tablets, and computers. However, more complex welfare technologies such as AI-driven technologies, including social
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. The successful candidate will
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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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electromagnetic field sensing. Strong publication record and ability to manage complex experimental systems. Proven ability to work effectively both independently and in collaborative teams. We regret to inform
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industry project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research
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that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation
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computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials, complex hydrodynamics and hydroacoustics, data
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Contribute to the School’s public outreach (blogs, podcasts, etc.) Teach one case study or complexity seminar (short courses of one week duration) in the School’s MPP program, and/or coach a Policy Lab team in
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will include: Conducting Innovative Research: Design and execute complex in vivo studies, manipulate neural circuits, and develop in vitro screening pipelines. Mentoring and training students: Provide