120 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "P" positions at University of Bristol
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This is an exciting opportunity for a Research Associate (RA) to join an interdisciplinary team (crossing Sociology and Computer Science) as part of a one-year Accelerator project for UKRI Smart
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of their research specialism and demonstrate plans to develop research activities and how this will link to and expand existing research activities. This post will support the undergraduate programme in Aerospace
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undergraduate and postgraduate courses in Economics. Play a pivotal role in programme accreditation, curriculum enhancement, and innovative teaching strategies that improve student experience and employability
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at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling of financial systems, blockchain
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our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics; and
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for this appointment. A summary of our approach can be found here, http://www.bristol.ac.uk/students/support/wellbeing/request-support/services/counselling/one-to-one/ . Please see the attached Job Description and
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& Curriculum Development Design and deliver advanced undergraduate and postgraduate courses at the intersection of FinTech and AI. Play a pivotal role in programme accreditation, curriculum enhancement, and
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An exciting Research Fellow position is available at the Bristol Interaction Group (BIG), University of Bristol, a leader in Human-Computer Interaction (HCI) and accessibility research. This role is
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technologies, including VR, AR, MR, XR, and related fields. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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. Mengyan Zhang (https://mengyanz.github.io/ ), whose research focuses on sequential decision making and public health. Dr. Zhang has published in leading venues including Nature, PNAS, ICML, AAAI, etc. She