1,960 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions in United States
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation
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Assessment Program (AWQUA ) team. They will be jointly supervised by Erin Seybold (Assistant Scientist) and Scott Ishman (Associate Director/Senior Scientist) in collaboration with Tom Mueller (Assistant
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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates
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students from all disciplines receive basic training in sciences in our state-of-art teaching facilities. Our department is committed to giving back to society through our extensive outreach program. We
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
fellow to participate in his inflammatory bowel diseases (IBD)-focused computational genomics research program, part of a collaboration with Dr. Shehzad Shiekh, MD, PhD, faculty in the Division
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reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include