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Posting Number 25FA1166 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD or equivalent and experience with the C. elegans model system
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to Applicants PLEASE SUBMIT COVER LETTER, RESUME, AND CONTACT INFORMATION WITH THREE REFERENCES. For questions, please contact: Emily Graybill, PhD Associate Professor GSAPP Rutgers University E: Emily.graybill
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Qualifications Minimum Education and Experience This position requires PhD in transportation engineering, industrial engineering, energy engineering, or related engineering fields. The candidate should have skills
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capture system, Pupil Core eye tracker. Software: Python, C#, C++, R, Unity, OpenXR, MakeHuman, MotionBuilder, Maya. Physical Demands and Work Environment Overview Statement Posting Details Special
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Experience Minimum of PhDs degree in life sciences or related field (such as neuroscience or cell biology). Prior experience with molecular biology techniques, such as qPCR and RNA preparation, is required
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and conference presentations, the results of research studies that further the aims of the labs and the funded research projects within the labs. We examine issues such as how genetic and environmental
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, mechanical or biomedical engineering, material science, biochemistry, or a related field to apply. Candidates should have a PhD or equivalent degree and a record of academic excellence. Excellent communication
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Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a
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through mentored scholarship and independent research opportunities. In addition to research activities, the post doc will coordinate activities for Annals of LGBT Public & Population Health, partake in
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studies that further the aims of the labs and the funded research projects within the labs. We examine issues such as how genetic and environmental influences change across development; trajectories of risk