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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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a project supported by PEACEPLUS, a programme managed by the Special EU Programmes Body About the person: Essential Criteria: Education and Qualifications: An upper second class honours degree
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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College of Engineering, Design and Physical Sciences Location: Brunel University of London, Uxbridge Campus Placement: Fixed term (12 months), Full–time, up to £40,757 per annum Brunel University
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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responsibilities will include: Lead Field Research: Plan and execute field-based surveys to assess natural capital values, including forest structure, composition, and fauna diversity. Analyse and Report: Process
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launched Oxford Programme for Cyber and Technology Policy (OxCTP). Reporting to the Co-Directors of OxCTP, you will manage your own academic research activities and collaborate in the preparation of research