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Field
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on and develop undergraduate and postgraduate modules related to Cyber Security. An evidenced track record is required within two or more of the following areas of Cyber Security: Pen-testing, Ethical
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: Applications accepted all year round Details Our research aims to develop forms of computational imaging in which the optical components of conventional imaging systems are replaced or enhanced by computational
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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their discipline. At this level, the role also involves contributing to service and engagement activities. The Researcher will contribute to innovative research developments within the scope of the ARC Discovery
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, signal processing and target strength modeling. Prototype scientific algorithms for proof
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(PI and Co-I) and the cytokine reference laboratory in developing assays, scheduling the assays and receipt of data. 10% effort: Writing grants, study protocols, reports, publications and presenting
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: You will develop software tools, algorithms, and other software components. These should be evaluated in realistic scenarios and integrated with, as well as shared within, the project team. Presentation
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, Massachusetts 02215, United States of America [map ] Subject Areas: Computer Science / Big Data , Data Science , Algorithms , Artificial Intelligence , Databases , Machine Learning , Security and Privacy