642 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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The objective of the post is to contribute the delivery of a collaborative project funded as part of the UKWIR Chemical Investigation Program 4 - Emerging Substances Endocrine Disruptors project
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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About the Role Working as part of a multi-disciplinary team, you will provide health psychology support to the delivery of research activity for the NIHR-funded Programme Grant for Applied Research
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. Description of Duties Grade 7 Assist on new and innovative optical remote sensing methods and applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth
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related field, possessing a developing research profile and the ability to implement novel statistical methods using various computing programs. You may also: Have completed a PhD in statistics, applied
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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Flag and is: i) an alert for possible cancer for GPs that appears on primary care blood test results; ii) an accompanying patient management pathway. This post is funded by the NHS Cancer Programme with