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Postdoctoral Research Associate, Department of Basic Medical Sciences(College of Medicine - Phoenix)
required. This position is part of a well-funded research program and offers excellent opportunities to contribute to high-impact publications and to develop an independent research trajectory, including
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Experience in computer programming of soft matter systems. Preferred Qualifications, Competencies, and Experience The candidate will preferably have a background in soft matter physics, physical chemistry
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focus on tau, amyloid-beta, and alpha-synuclein. The successful incumbent will help manage and contribute to our program in ex vivo human molecular neuropathology, biochemistry, and advance optical
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to ongoing research programs. Present research findings at local, national, and international scientific meetings and contribute to dissemination activities targeting academic, clinical, and community
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Strong computational and programming skills (Python, R, Linux, and high-performance computing environments). • Demonstrated experience in genomics data analysis, evidenced by peer-reviewed publications
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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, including mass spectrometers for proteomics helps to direct research programs and laboratory operations and manages laboratory policies and procedures Qualifications A PhD in chemistry, biology, or a related
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, resilience and sustainability of future infrastructure. You will: Design and deliver high-quality experimental and analytical research in structural engineering. Plan and conduct laboratory testing and analyse
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows