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Post-doctoral researcher in aerosols, clouds and their interactions with focus on km-scale modelling
. Strong background and track record in atmospheric physics is essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The
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chemistry, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports
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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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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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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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Computing cluster Eureka2 as well as career mentoring and training opportunities. Travel and equipment funds are available as part of the grant. They will join the Astrophysics group, a vibrant, diverse and
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University of the West of Scotland | North Lanarkshire, Scotland | United Kingdom | about 15 hours ago
West Job category/type Academic Date posted 14/10/2026 Job reference REQ000640 Attachments AC2 Postdoctoral Research Fellow JDPS .pdf Job description Job description Faculty of Computing, Sciences and
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. Experience building reproducible workflows and analytical pipelines, ideally using HPC or cloud computing environments. (For a full list of essential and desirable criteria please refer to the job
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simulations of dwarf galaxies would be advantageous. The researcher will have access to Surrey’s High Performance Computing cluster Eureka2 as well as career mentoring and training opportunities. Travel
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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