29 algorithm-development-"Multiple"-"Prof"-"Prof"-"Washington-University-in-St"-"St" positions in United Kingdom
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                Employer- Cranfield University
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                for facilitating effective communication with, and interaction between, the Hub’s various stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating 
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                of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour, precision livestock farming. How to apply If this opportunity interests you, please submit a CV and outline 
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                . An understanding of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour, precision livestock farming. How to apply If this opportunity interests you, please submit a 
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                energy, personalized medicine and climate science and we need your help to develop tools and workflows to drive exploitation of this world leading resource. You will also play a key role in fostering a 
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                . An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD 
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                development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation 
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                and algorithm or approaches, and instead will have a creative approach to problem solving, exploring multiple potential techniques. Ideas will be verified on software systems (e.g. SOLIDWORKS, MATLAB 
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                tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport 
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                usage. This requires the developed algorithm retain the knowledge learned in the past and use it to help future learning and problem solving. Therefore, the key to success for analysing long-term farming