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, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed
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11 Mar 2026 Job Information Organisation/Company Łukasiewicz PORT Department P4Health Research Field Biological sciences » Biological engineering Researcher Profile Recognised Researcher (R2
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 12 days ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: This project aims to use large language models (LLM) to extract and analyze discussions on social media platforms
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such as teacher education across local and global contexts. It requires strong methodological capability, particularly in quantitative approaches, and the ability to contribute to large-scale and
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the community at large. • Provides evidence that the project will respect and respond to the needs of the participants. • Shows how the project will benefit and lift the profile of the Fellowship and the
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by anxiety, depression, eating disorders and other mental health conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data
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16 Apr 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets