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familiarity with machine learning and dimension reduction methods are essential. You will demonstrate strong research output, excellent communication skills, the ability to work both independently and
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insights into giant planet auroral processes. You will engage in leading-edge research and contribute to high-impact publications, while also representing the research team at national and international
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studies. You will also manage the downstream bioinformatics of this high dimensional data, and perform pathway enrichment investigations to delineate the most impacted disease processes in early heart
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cohort already registered through our SCAD research portal (scad.lcbru.le.ac.uk ), overseeing consent, data collection, and coordination of clinical imaging, DNA, and biomarker studies. The project offers
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initiative - Project management skills and business acumen. - Machine Learning techniques. - Proficiency in Python or Java programming. - Excellent written and spoken English communication skills. - Ability
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. We will soon be receiving the first data back from Mercury via the UK’s only PI instrument: the Mercury Imaging X-ray Spectrometer (MIXS) (Emma Bunce PI). This post is the first of four positions
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collaboration. Your expertise spans compressible aerodynamics, powder technology, computer-based optimisation, and numerical modelling—making you ideally suited to tackle complex challenges in advanced
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departments and external partners. About you You will hold a PhD or equivalent in a relevant field and bring substantial experience in developing complex AI or machine learning models, particularly using Python
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transitions, metastability, climate system response to perturbations, and machine learning applications in climate science. You will be part of an internationally recognised research environment, where you will
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observation data, and machine learning techniques to address climate and sustainability challenges. You will contribute to the development of computational frameworks, collaborate across disciplines, and work