555 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
population genomics, GWAS, and/or QTL analysis. Proficiency in computational/data analysis environments (R, Python, Unix/Linux, HPC systems). Strong communication skills and ability to work effectively within
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Greenebaum Comprehensive Cancer Center (UMGCCC) is recruiting a junior Postdoctoral Fellow to join an active translational research program focused on CAR T cell therapies for hematologic malignancies and
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high-temperature oxidation, in glasses and related materials. We welcome applications from recent PhD graduates who are interested in these fields, especially those who bring new skills or perspective to bear on
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master's level study in France for up to 30 American students. The program allows you to study at one of fifteen academic institutions across France in the fields of STEM, humanities, social sciences, and
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic
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of genetic and environmental exposure risk factors in asthma. Key functions will include: A) Perform genome-wide admixture and association analysis, implement ancestry-environmental exposure interaction
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Army Institute of Research (WRAIR) is DoD's premier research enterprise for infectious diseases, brain health, and performance optimization. Around the world and at WRAIR’s headquarters, research is
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they can best carry out their research program.
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archaeological research and education in Old World prehistory, offers postdoctoral research fellowships. Eligible candidates must be attending a field program in Old World prehistory, and preference will be given
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring