31 python-"Multiple"-"Embry-Riddle-Aeronautical-University"-"Washington-University-in-St" Fellowship positions in United States
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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Southwestern (UTSW) Medical Center in Dallas, seeks applications for multiple postdoctoral fellow positions to investigate memory mechanisms in the mammalian brain using innovative molecular, cellular
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multiple affiliations. Postdoctoral Associate – Climate, Biodiversity, and Health Surveillance in Latin America and the Caribbean Be You. The Amazon Research Consortium for Climate Change and One Health (ARC
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recruiting multiple postdoctoral fellows, to join our interdisciplinary team studying the gut microbiome’s role in immune tolerance development. Our lab integrates multi-omics microbiome analyses, experimental
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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. Multiple postdoctoral fellow positions are initially available, and candidates are strongly encouraged to review Preferred Qualifications to determine which position is best aligned with their skills and
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well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially
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: Experience in managing large-scale -omics data, including data storage, organization, and inventory across multiple platforms. Strong skills in record-keeping, facilitating data upload to online repositories
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced