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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise
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funded by UKRI EPSRC, is fixed term for up to 12 months maximum, and must end by 31/12/2026. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus
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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon
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learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to [email protected] For more information about working at the Department
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machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to [email protected] For more information about working at
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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– Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics