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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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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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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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longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and
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challenge due to limited patient data—especially at the single-cell level—making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data
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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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collaborative platform to: (i) establish standards and protocols for comparative methods; (ii) assemble and coordinate a team of international researchers; and (iii) enable open sharing of data, evidence, and
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. Application Procedures The following application materials must be submitted via Academic Jobs Online position # 30300 by October 31, 2025. Information Cover Sheet (will be generated via your AJO account): (a
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality