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deployment of a range of behavioral, physiological, functional, anatomical, and computational methods. A completed PhD in neuroscience or a related field is required prior to the start date. MINIMUM
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in preparation for a full time academic or research career. Associates will be co-mentored by PhD faculty with extensive technical experience with machine learning and deep learning. Lab website:https
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interest and funding. Salary will be commensurate with experience, according to the NRSA scale and Duke postdoctoral associate salary guidelines. Doctoral or terminal degree (PhD, MD) in a relevant field
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Education This position requires a PhD or equivalent in biology, biochemistry, physiology, medicine, or chemistry or related scientific field. Preferred Experience Work requires experience in research and
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: Education Completion of PhD requirements or similar doctorate in biology, microbiology, genetics or other directly related scientific field and prior experience working with pathogens in a BSL-2 laboratory
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environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent communication skills
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: PhD (or MD with substantial laboratory-based research experience) in a relevant biological science, such as molecular biology, molecular genetics, or cancer biology. Experience: None required above
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documentation of experiments, including raw experimental data and laboratory notebooks. The position requires a PhD in computational biology, bioinformatics, structural biology, biophysics, biochemistry, or a
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candidate will have either a MD PhD dual degree or a PhD degree in immunology, biochemistry, pathology, genetics, or other biological sciences. The ideal candidate will have experience in molecular biology
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candidates who see themselves as eventually launching an independent research program for which this training would provide a strong boost. A completed PhD in neuroscience or a related field is required