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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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for Pharmacoepidemiology and Treatment Science (PETS). The successful Postdoctoral Research Assistant candidate will further develop research skills under the mentorship of Dr. Bushnell through contributing to NIH funded
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, development, and implementation of laboratory and research studies as assigned and approved by the Principal Investigator. In addition, the Postdoctoral Associate will contribute to the Principal Investigator’s
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, and asset management. The successful candidate will contribute to the development of next-generation digital infrastructure frameworks that combine experimental testing, structural health monitoring
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patients. The Postdoctoral Associate will perform small animal surgeries, molecular, cellular and electrophysiological experiments with the goal of developing a wearable device to prevent seizure-induced
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that directly result from his/her research. In addition, the individual will also help train graduate students and technicians, and help maintain various equipment. The individual will perform brain perfusions
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professionals and technicians in laboratory technicians, instrumentation, etc. to develop the skills necessary to perform the required research functions. Assists with eIACUC and IBC protocol renewals and
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materials chemistry and surface science, with a focus on the development, operation, and analysis of specialized physical characterization techniques. Position Status Full Time Posting Number 26FA0156 Posting
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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programs Posting Summary Prof. Kaelber is recruiting a “dry lab” scientist for methods development in evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary