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Field
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Jefferson Laboratory (JLab ), and Simulation studies & R&D for the future Electron Ion Collider (EIC ). For more information, please visit the PI's website or the group's nuclear-experiment website
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D
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modifications to enhance the properties of the formulations. Proactively engage in collaborative R&D by providing solutions and demonstrating the potential of formulation chemistry in addressing important
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Texas A&M University, Physics and Astronomy Position ID: TAMU -PHYS -POSTDOC [#29977, R-083493] Position Title: Position Location: College Station, Texas 77843-4242, United States of America [map
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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;Leverage advanced methodologies to integrate multimodal imaging, genomics and proteomics data to dissect mechanobiology mechanisms of complex biological systems;Plan and perform R&D activities, develop
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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one of the following programming languages: R, Perl, Python, C/C++, JAVA, etc. Experience in cancer research and/or molecular biology will be an advantage. Preference will be given to those with