452 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" Fellowship positions in United Kingdom
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industry and academia. C13 Able to work in both industrial and academic environments with a good understanding of key legislative and policy frameworks. Desirable: D1 Exploring chemistry using computer-based
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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of the Fellowship, including its bespoke training and mentoring programme, leads to the opportunity for a permanent academic appointment from September 2029. Join Our Live Webinar Learn more about the Fellowships
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professionals in developing countries Distance Learning Scholarships for developing country students to study UK Master's degree courses while living in their own countries Please note, however, that not all
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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to the eRecruitment (Workday) system, each 5MB. Contact Information: More information can be found on our website at https://www.hiit.fi/hiit-postdoctoral-fellow-positions-in-computer-science . For questions regarding
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to learn from others is essential. The School values diversity and is committed to equality of opportunity. The School of Chemistry holds a Silver Athena SWAN Award in recognition of our commitment
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learning and research in their chosen field and publish the results. The College’s academic environment provides favourable conditions for research, which will be undertaken freely and without oversight
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Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School
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statistical workflows to analyse AUV and BRUV datasets collected along the Northern Ireland–Donegal Bay coastline. Using machine-learning and multivariate modelling approaches, they will quantify habitat