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to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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, this position is designed for a promising scholar with strong data skills who will work directly with Dr. Alexander Kustov, Associate Professor of Migration, on an ongoing research program that is aimed
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
, including HPC, cloud computing, and data architecture Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree. ORAU Pathfinder Whether you are just starting
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education. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/21983970/james-madison-program-postdoctoral-research-associate Return to Search Results
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program. More information about the CNRC training program can be found here: https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center https://www.bcm.edu/research/research
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, high-dimensional modeling, or cloud/high-performance computing Experience (training acceptable) with one or more of the following: Genome-wide association studies (GWAS) Genotype imputation Fine-mapping
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 12 days ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https