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Atmospheric Observatory (weybourne.uea.ac.uk ) and the Heathfield Tall Tower in the UK, you will: Disentangle atmospheric signals into anthropogenic and natural processes (1, 2) to quantify ffCO2, making use
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About the CDT The UKRI AI Centre of Doctoral Training in Designing Responsible Natural Language Processing is dedicated to addressing the increasing necessity for an ethically grounded approach in
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Primary Supervisor: Dr Zoja Vukmanovic Scientific background: Layered intrusions represent natural laboratories frozen in time that provide us an opportunity to study how magma cools and
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determining the drivers of these changes from the oceanographic data and model experiments as well as satellite and reanalysis products. Training: You will develop skills in chemical analysis, data processing
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overall or equivalent proficiency - English language requirements For enquiries about the application process, please email Emma Chorley: lifesci-rec@sussex.ac.uk Applicants are encouraged to make Informal
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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or because of changes in nutrient conditions. However, the exact nature of mechanistic link between enhanced freshwater flux and biological productivity, and the impacts on carbon export and
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good written and spoken English and must be able to collaborate effectively within the research group and externally. Appointment at Research Associate level is dependent on holding a PhD. If the
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer