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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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reduction. You will be supported by a multidisciplinary internationally renowned team from within QMUL and the wider CD3 community which has expertise in health data science, risk prediction, statistics, AI
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data
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probe attached to the patient’s forehead. Crainio’s nICP technology has been studied and developed since 2016. In-vitro studies, tests in healthy volunteers and data collection from patients in critical
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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will have a PhD (or close to completion) in engineering, materials science, physics or other closely-related disciplines. You will be a highly motivated and responsible researcher with strong curiosity