236 parallel-computing-numerical-methods-"https:" Postdoctoral positions in United Kingdom
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ideas from numerical weather prediction, climate modelling, and modern machine learning, the project aims to develop physically grounded methods for uncertainty quantification that are applicable
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volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development
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laboratory testing and analyse experimental data using appropriate computational methods. Develop innovative research methodologies and contribute to project planning and reporting. Publish your findings in
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analytical and numerical methods to solve partial differential equations, -- excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will be a big
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transport in systems such as multiple-scattering media and multimode fibers. The position involves developing advanced optical experiments, conducting numerical simulations, and engaging closely with
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Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
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reference genomes, large WGS datasets and high‑performance computing, and collaborate closely with an RA responsible for lab work. The role includes opportunities for fieldwork in France, work with
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applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing
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Post Doctoral Research Fellow - Mapping Futures 2 Project Faculty/Directorate Faculty of Engineering, Computing & the Environment School/Function Faculty General (ECE) Contract type Fixed Term Contract
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interactions between the wakes and the overlying atmosphere. While the wider project combines both experimental and computational tools, this position at Durham University focuses on the numerical and