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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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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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Posting Details Posting Detail Information Working Title MIP Postdoctoral Fellow - Open Pool Position Location Fort Collins, CO Work Location Position is fully in-office/in-person Research
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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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of data on invasions, their impacts and their management. The scientist will also analyse data to quantify the costs and benefits of the use of nonnative trees in forestry. They will use these analyses
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supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through 2025-2030. The post-holder will join early in this new research
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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