290 postdoc-parallel-computing positions at University of Sheffield in United Kingdom
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maintaining project plans and work breakdowns. Develop and maintain systems and databases for monitoring the intellectual property (IP)emerging from the programme and for monitoring IP in closely related
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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responsibilities Scoping, planning and delivery of a variety of projects and programmes. Ownership and support / preparation of project and programme budgets, in collaboration with Research Engineers to ensure
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer
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for training followed by validation and testing on unseen datasets including local cases. Correlation of the computational features with other clinicopathological variables, behaviour and survival will also be
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have previously supported student or programme-related processes. They will also be able to build effective relationships with internal and external stakeholders and work flexibly to support the