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conduct independent research with limited supervision. Experience in data visualisation and analysis for large datasets viewed favourably. These positions may require you to attend clinical sites e.g
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opportunities, we anticipate a large number of applications at CSER; due to the limited amount of workspace available, we can only forward a small selection of these to the British Academy. Applications should be
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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, cybersecurity, computer networking, machine learning, AI, ERP and cloud computing Conduct research with colleagues. Strong data analytics skills, including the ability to work with large sets of structured and
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we