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Field
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-making. This may include optimising transport/manufacturing operations, alternative fuel/ technology pathways, infrastructure capacity, fleet/machine composition, resource allocation, scheduling
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with vessel protected volume estimates to identify safety-buffer overlaps, developing multi-agent path-planning, and machine-learning methods for corridor allocation, airspace capacity optimisation, and
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for Science, and scientific discovery by advancing our understanding of interpretable machine learning models and their practical applications in real-world domains such as healthcare and science. Key
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Requirements: Candidates should hold a PhD in civil engineering, computer science, electrical/computer engineering, robotics, or a related field. Experience in computer vision, deep learning, 3D reconstruction
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An opportunity has arisen for a Research Fellow in Machine Cognition in UCL Linguistics, within the Division of Psychology and Language Sciences and Faculty of Brain Sciences. UCL is ranked eighth
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics
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research dissemination activities. Collaborate with interdisciplinary researchers and supervise student assistants involved in the project. Job Requirements: PhD in Information Systems, Business Analytics
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. While a PhD is valued, we recognise that expertise can be developed through a variety of career pathways. We strongly encourage applications from candidates whose experience has been built in industry