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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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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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Develop and support Cube Analysis and Rendering Tool for Astronomy (CARTA) software within a global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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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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discoveries. The ALS has been a global leader in soft X-ray science for more than two decades and is currently undergoing a large-scale upgrade (ALS-U) that will endow the facility with state-of-the-art X-ray
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
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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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-reads) for microbial ecology studies and finally, you have capacity for handling large amounts of data and their suitable storage and dissemination according to FAIR principles. Position 2: Postdoc in