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such as the Integrated Toxicology and Environmental Health Program, the Superfund Research Center, and the Center for the Environmental Implications of Nanotechnology. TERM: 1 year, with the possibility
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may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research
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for scientific conferences. Assist in grant proposal writing for lab grants Mentor undergraduate or graduate students Doctoral qualification in epidemiology, biostatistics, computational biology, public health
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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clinical training program unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor
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statistics (desirable but not required) Strong statistical computing skills in R and SAS Excellent writing and communication skills Duke University is an Affirmative Action/Equal Opportunity Employer committed
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) Strong statistical computing skills in R and SAS Excellent writing and communication skills MINIMUM QUALIFICATIONS Education See job description for education requirements. Experience See job description
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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engineering or related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with
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or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless