116 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at University of Bristol in United Kingdom
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We are seeking a talented and enthusiastic postdoctoral (or working towards a PhD) scientist with experience and a track record in machine learning, particularly for applications of deep learning
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Interaction and physical computing. Supervise postgraduate research students working on topics related to hardware, fabrication and/or interactive systems. Teach effectively across the full curriculum
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implement more effective interventions based on up-to-date predictions. The ideal candidate will have foundational knowledge of machine learning and strong self-motivation. You will be supervised by Dr
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process
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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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, (http://www.bris.ac.uk/biochemistry/people/paul-b-martin/index.html ). The funds for this position are available until 31/12/2026. What will you be doing? You will: Design and conduct in silico
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computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation
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to life sciences, climate modelling, machine learning and computer vision, and wider data-driven research. Colleagues in the newly established Bristol Centre for Supercomputing (BriCS) operate the recent
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live-imaging, immunohistochemical, and transcriptomic studies of wound repair using zebrafish and arabidopsis models tissue damage/repair. You will join the lab of Professor Paul Martin, (http
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-based decentralised finance, and financial machine learning. The postholder will also be expected to carry out excellent research-led teaching and related admin duties to support in particular our MSc