321 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions in United Kingdom
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Field
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We have an exciting opportunity for a Research Assistant/Associate to make a contribution to an ERC-funded project "Dynamic network reconstruction of human perceptual and reward learning via
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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but
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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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, learning and social environment in which the rights and dignity of all our staff and students are respected. If you are excited and motivated by our vision, and our values and believe that you can bring
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ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning from traditional knowledges in their places of origin; a multispecies geography that
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supportive culture that fosters knowledge exchange, learning, creativity and scientific excellence. The PI, the group, the Department and university-wide initiatives (e.g., the Durham Centre for Academic
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click the 'Apply' button. Closing date: 13 April 2026 23:55. UAL is committed to creating diverse and inclusive environments for all staff and students to work and learn – a university where we can be