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, and quantum machine learning for NISQ architecture(s). This post is advertised as full-time. We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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. Department: Department of Population Health Sciences. Contact details:Professor Josip Car. josip.car@kcl.ac.uk Location: Guy's Campus. Category: Professional & Support Services. About Us The School of Life
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experience with machine learning and deep learning frameworks, development of API’s and dashboards alongside proficiency in programming skills, will stand you out from your peers. For all our roles we
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), disability, marital status, sexual orientation, or military status. POSITION RESPONSIBILITIES The CECS faculty members will be responsible for three primary responsibilities: Teaching: Develop and instruct
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innovation in sustainability and climate change. The Institute currently involves around 80 academics, a cohort of 70 PhD students, and a research income of more than £25M. We are seeking to appoint
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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tools. In this role, you will mainly focus on strengthening our computational pipeline: integrating multiple standalone machine‑learning predictors into a unified, multi‑objective framework capable
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automated business processes workflows. Situated at the intersection of digital innovation and the built environment, the successful candidate will get to apply their machine learning and software engineering
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and Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and