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for submission to peer-reviewed journals; and mentoring undergraduate and graduate students. Qualifications: PhD in Chemistry, Physics, Chemical Engineering or a related field by the time of hire is required
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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, the Department of Statistics and Data Science, and the Institute of the Environment and Sustainability. The position is in-person. There is support for conference travel (approximately two meetings per year
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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and Immigration website . Full-Time, Fixed-Term (36 months) We are looking for a highly motivated early career researcher with a PhD (or near completion) in psychology, life sciences, genetics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
) at Bolin Creek Center. Position Summary Are you ready to impact the future of statistical methodology for neurodegenerative diseases? Led by Dr. Tanya Garcia, recipient of the 2024 NIH Landis Award
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. Disseminating results through technical publications and contributions to national and European RDI projects. Is Your profile described below? Are you our future colleague? Apply now! Education A PhD degree in
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical