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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation
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We are seeking a post-doctoral Research Associate ("post-doc") to join the Machine Learning Group (MLG) (http://mlg.eng.cam.ac.uk ) in the Department of Engineering, University of Cambridge, UK
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Applications are invited for a postdoctoral researcher to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture group under
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quantum computers, development of compilation techniques to reduce resource requirements of quantum applications, machine learning techniques to design scalable building blocks for early fault tolerant
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for the high throughput control of computations and analysis of results. Structure prediction will be performed using the AIRSS and EDDP (machine learning potential) packages, and prior experience in structure
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aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
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, led by Dr Susanne Bornelöv, which studies the role of codon usage bias in gene regulation using various approaches including machine learning and AI, evolutionary genomics, and sequencing bioinformatics
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to commence at the start of September 2024. In return we can offer a benefits package including: 33 days holiday Free meals on shift Employer contributory pension scheme Free car parking (if available) Life
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benefits package including: 33 days holiday Free meals on shift Employer contributory pension scheme Free car parking (if available) Life assurance A health cash back scheme Cycle to work scheme Wellbeing