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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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PhD in rehabilitation science or assistive technology, or a research doctorate in a related field; Demonstrated expertise in interdisciplinary research with technical and clinical teams and patients
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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(visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: The post-doctoral researcher will work under the
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student and faculty innovation and entrepreneurship that make a difference in the world. Expectations An ideal candidate will: Have a prior track record of publications at standard ML or robotics venues Be
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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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antibacterial substances. The selected proteins are represented by bacteria from different phyla, such as proteobacteria and bacteroidetes. The present study will be performed using a blend of X-ray