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Field
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mentor, you will gain hands-on research experience that complements your academic background while strengthening your technical, analytical, and scientific communication skills. This opportunity provides
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, or engineering problems. Familiarity with multi-omic data integration, predictive modeling, systems biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with
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to enhance climate action, including the role of public-private partnerships and international cooperation. Technology and Innovation: Exploring new technologies, data analytics, and innovative approaches
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
on the speed, reproducibility, and consistency of regulatory data handling, demonstrate adherence to FDA data governance policies and applicable privacy regulations, and translate AI-assisted analytical outputs
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, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities : Perform independent research: own a research project from
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of fracture–matrix interactions in production. Data Analysis & Modeling: Develop analytical and numerical models to interpret laboratory measurements, quantify the controlling mechanisms of multiphase transport
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responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations. The postdoctoral research fellow will
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Department Information: The Department of Chemistry in the College of Arts + Sciences at Indiana University, consists of a well-rounded research community with cutting-edge expertise in a wide variety of
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analytical tools and pipelines for sequence data generated by Sanger sequencing, targeted NGS, enrichment NGS, and metagenomic sequencing. Analyzing and interpreting sequencing results and integrate laboratory