26 power-electronics "https:" "https:" "https:" Postdoctoral research jobs at Rutgers University
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/or cryo-electron microscopy. - Enzymology and inhibitor characterization. - Structure-guided drug discovery or fragment-based screening. Applicants must demonstrate: - The ability to design, execute
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communication skills. Strong organizational, planning, project management, and problem solving skills. Ability to interact effectively and sustain relationships with investigators, colleagues and partners working
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Qualifications Minimum Education and Experience PhD in Biomedical Engineering, Electrical Engineering, Materials Science, or a closely related field. Proven track record of research in flexible electronics
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. tuberculosis-infected mice, and ability to analyze transcriptional and metabolomic experiments. Preferred Qualifications Preferred experience includes independent design and conduction of genetic
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including R (SAS, Python, Stata, NVivo, or Dedoose a plus). Physical Demands and Work Environment Standard academic and office research environment. Requires the ability to work collaboratively at a computer
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independent design and conduction of genetic, microbiological, and metabolomic studies, experience performing unsupervised work in the BSLIII on M. tuberculosis and M. tuberculosis-infected mice, and ability
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on M. tuberculosis and M. tuberculosis-infected mice, ability to analyze transcriptional and metabolomic experiments. Additional experience in biochemistry preferred. Equipment Utilized Physical Demands
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Environment PHYSICAL DEMANDS: Computer data input required. Ability to use computing resources and perform bench-laboratory experiments. WORK ENVIRONMENT:Laboratory environment. Universal precautions
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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national electronic health record-based and claims-based real-world data sources. PETS faculty members serve on US FDA Advisory Committees; study sections at the National Institutes of Health; committees