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global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage
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. - Solid experience in large-scale biodiversity data analysis and the use of statistical models. - Strong writing and communication skills. - Flexibility and adaptability. - Rigorous and self-motivated
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, budgeting and variance reporting Skilled at complex financial analysis, aggregating, manipulating and summarizing large data sets Advanced MS suite skills including advanced excel functions like pivot tables
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brain. Our group has access to a large (~400 patients) dataset of multimodal neuroimaging and clinical data from ALS patients. By integrating multimodal patient data (MRI, DTI, fMRI, EEG/MEG) into
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genetics and/or evolutionary genetics • Proven experience in bioinformatics and large-scale genomic data processing • Excellent level of scientific English, both spoken and written • Experience with
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work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex
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20 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Biochemistry Engineering » Biomedical
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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waivers at UConn, and a highly desirable work environment. For additional information regarding benefits, please visit https://hr.uconn.edu/health-benefits/ and explore the sections under the Benefits
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strategic priorities and lead large-scale initiatives and organizational change -Experience in data analytics, use of AI tools, and data reporting -Expertise in developing, implementing, and evaluating