88 phd-studenship-in-computer-vision-and-machine-learning Postgraduate positions in United Kingdom
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Sciences, within the range accepted by Keble College. The scholarship covers course fees and a grant for living costs. Awards are made for the full duration of your fee liability for the agreed course
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work Desirable Criteria 1. Postgraduate degree at PhD level (or nearing completion / submission) in a related subject area or relevant industrial experience 2. Evidence of collaborations with
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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ability to demonstrate creativity, innovation and teamworking within work. Desirable Criteria 1. Postgraduate degree at PhD level (or nearing completion/ submission) in a Heterogeneous Catalysis 2
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learning, and leads on the University’s Access and Participation Plan (APP). A key focus of the Directorate is ensuring the University has a high quality and sustainable educational portfolio, which delivers
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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are underrepresented at the University. Lancaster University Library has made Equality, Diversity and Inclusion one of the key aims of our vision for 2025. We will represent all the diverse communities that make up our
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Secretion System (T6SS), a harpoon-like machine allows bacteria to fire damaging toxins, known as “effectors”, into other bacteria and in human cells, allowing bacteria to cause disease. In several notorious
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and teamworking within work Desirable Criteria 1. Postgraduate degree at PhD level (or nearing completion / submission) in a related subject area or relevant industrial experience 2. Proven