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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing
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Apply Now How to Apply Interested individuals should include a cover letter, CV and the names and contact information for 2-3 professional references. Mission Statement Michigan Medicine improves
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. Experience and knowledge: Required: Experience with genomic analysis, bioinformatics workflow development, phylogenetics or phylodynamics, AI/ML and/or scientific data visualisation highly beneficial. Previous
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information, medical communications and publications, field medical activities, promotional and medical review processes, and cross-functional collaboration. The fellow will help support the collection
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). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 18 hours ago
experience with FDA's regulatory processes and the role of inactive ingredient in drug development, data management, and IT analysis, deepening understanding of how regulatory databases are developed
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independent and collaborative research; (b) collect extensive spoken corpora and related participant demographic information; (c) assist in the development of assessment instruments and protocols, and
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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25 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Educational sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments