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Field
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faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding
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functional genomics to uncover how pathogens adapt in hosts and respond to drugs. This position is ideal for someone who wants to drive analysis, shape biological stories, and grow into a senior computational
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organometallic and phosphorus chemistry to design and develop synthetic methodologies, analyze chemical structures, and characterize synthesized compounds. Sustainability: Ensuring that all research activities
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are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability
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-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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. Perform research by integrating tools from protein engineering, e.g. phage display, yeast display, high-throughput screening and structure-based protein design, with those applied in virology, bacteriology
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of the national public health, during the construction of a core base for building a national medical science and technology innovation system, we focus on the research and development (R&D) of innovative vaccines
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data