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profiling, molecular biology, cancer genomics, and in vivo preclinical modeling. Examples of representative recent papers led by wet-lab scientists in our lab (as first author) include: https://www.nature.com
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https
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specimens. We evaluate pathological changes in reference to normal organ structure and function that have been characterized by basic studies. The overall objective is to develop and test hypotheses
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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: Psychiatry Group or Departmental Website: https://stai.stanford.edu(link is external) https://neuroailab.stanford.edu/(link is external) https://neuroscience.stanford.edu/(link is external) Does this position
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
of Pharmacology at the University of North Carolina at Chapel Hill is seeking a Postdoctoral Research Associate to investigate the molecular and structural mechanisms that regulate G protein-coupled receptor (GPCR
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FutureFoodS project SpeedyFermHub – which aims to support the development, optimization and scale-up of fermented plant-based food prototypes. Within the project, the Department of Management at Aarhus
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https