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phenotyping techniques. Experience with human electrophysiology. Excellent written and verbal communication skills. Must be proficient with computer software including MicroSoft Office, Adobe Acrobat and
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with the attributes listed in the requirements section are strongly encouraged to apply. Education Requirement: PhD or equivalent in psychology, neuroscience, cognitive science, biomedical engineering
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communication skills, both written and oral • Strong data analysis skills, including experience with statistical software (SAS, R) • Demonstrated ability to prepare manuscripts, reports, data visualizations
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biological samples. In collaboration with other researchers, we also perform therapeutic studies through a locally delivered approach to evaluate the effectiveness of bio-engineered (e.g. nanoparticles
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the Colleges of Medicine and Engineering. Applicants must have a PhD degree in Biomedical Engineering, Neuroscience, Biology, Physics, Medical Physics, or a related discipline. In addition, applicants must be
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continue until the position is filled. Education Requirement: PhD degree in Human Physiology, Rehabilitation Science, Kinesiology, Psychology, Biomedical Engineering, Electrical Engineering, or related field
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clinicians in the colleges of medicine, nursing, and pharmacy. Ultimately, the person in this position will contribute to the translation of machine learning technology into improved, personalized clinical
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Mathematics, Business Analytics, Computer Science, Industrial Engineering, Informatics/Information Sciences, Logistics, Management Science, Operations Management/Supply Chain, Statistics, or any related field
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experience for publishing impactful papers. Assisting with grant application. Education Requirement: PhD and/or MD degree in Neuroscience, Computer Science, Electrical/Biomedical Engineering, Psychology