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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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evolution of rhizobia in the lab and in plant mesocosms alongside omics technologies such as genomics and transcriptomics and analysis of pre-existing datasets. You will learn techniques such as sterile
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are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication skills. The Gravitation and Cosmology Group at Sheffield
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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, computer engineering, information management, logic and automated reasoning, machine learning and optimisation, and text mining) and in several interdisciplinary fields (e.g nanotechnology, bioinformatics
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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, library, museum or other record-keeping environment (including remote volunteering e.g. see National Archives remote volunteering opportunities page: https://www.nationalarchives.gov.uk/about/get-involved
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi