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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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(KCL, London, UK) but will also have the opportunity to travel and work at the Centre for AI and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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backgrounds to join our community. The Intelligent Robotics group (https://irobotics.aalto.fi ) at Aalto University’s School of Electrical Engineering, an active participant in the Finnish Center
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track record in food system and mathematical modelling research. The project aims to: 1) assess resilience of both the current UK fruit and vegetable (F&V) system plus several scenarios of future possible
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and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU). Importantly, we adopt a flexible working environment within the lab and are happy
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(KCL, London, UK) but will also have the opportunity to travel and work at the Centre for AI and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU
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-term position expected to last 36 months. Our current plan is to have online interviews, with interview questions provided in advance. For an informal discussion of these roles, or if you have any
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the following will help Department of Engineering - Durham University Electrical Power - Durham University Contact Information for Technical Difficulties When Submitting your Application If you encounter