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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject has been listed among the world’s top academic subjects by Shanghai Ranking for four
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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relativity. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking, actively engaging with and valuing other
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opportunity As a Research Fellow in the Zero Net Emissions for Agriculture CRC, you'll play a crucial role in assessing greenhouse gas emissions reduction options for Australian farms. You'll utilise your
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Athena Swan, Race Equality Charter, Disability Confident and Stonewall Diversity Champions Programme, we welcome applications from people identifying with these characteristics. The University has a number
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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About us This vacancy sits within the Institute for Sustainable Resources (ISR) within the Bartlett School of Environment, Energy, and Resources in the newly created Centre for Net Zero Market
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will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from backgrounds, including computational chemistry, bioinformatics
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outreach and/or being engaged with an EDI interest group (e.g. Women in Research and the BME Staff Network). There is a single post to start immediately. This post will be offered on a fixed-term contract