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scientist to join an enthusiastic and collaborative team of outstanding scientists. The successful applicant will hold a terminal degree from an accredited institution, in the area of cellular and molecular
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Duties: Lead development of core reconstruction and simulation software for the LDMX
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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, Molecular Biology, or a closely related biomedical field • Experience with retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models • Demonstrated expertise in retinal
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are typically interdisciplinary and integrate genomics, molecular biology, microbiology, genetics, and organismal approaches. Major Areas of Accountability 70% Research Activities Lead the design and execution
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scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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of Biochemistry, Molecular Biology and Biophysics is committed to understanding the molecular mechanisms of metabolic diseases and cancer; developing novel strategies in biocatalysis and biotechnology; and
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engineered strains. Essential and Other Functions: 65% - Analytical chemistry: isolation and structure determination of natural products. 20% - Molecular biology: plasmid construction and strain engineering