26 post-doc-image-processing Postdoctoral positions at Northeastern University in postdoctoral
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clinical collaborators and lab personnel. Collect, process, and analyze neurophysiologic and biomechanical data, including transcranial magnetic stimulation, EMG, quantitative sensory testing, and isokinetic
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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Qualifications: Ph.D. in Chemistry, Computer Science or equivalent In-depth knowledge and hands-on experience in MD simulation and molecular modeling Experience in processing and analyzing protein structure and
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Susanne Jaeggi and Aaron Seitz are seeking to hire interdisciplinary post-doctoral researchers
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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aviation fuel, and fuels derived from biomass, waste plastics, or carbon dioxide (CO₂)—spanning catalyst and process development, reactor design and scale-up, and performance and techno-economic assessment
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language processing, and data harmonization, with applications in biomedicine and related domains. The Postdoctoral Research Associate will collaborate closely with graduate and undergraduate students, scientific
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will be needed. Technical expertise in modern chromatography methodologies and techniques, good computer skills and data analysis experience are all desirable. The best candidates will have excellent
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About the Opportunity As a Postdoctoral Fellow, the candidate will conduct research on the fundamental theories of signal processing and explore their applications in modern communication systems