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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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ddRADseq, whole genome sequencing, targeted sequence capture, and other emerging genomic technologies. The successful candidate will participate in all aspects of the research program, including experimental
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane
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Carilion (VTC). About the Lab: The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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Job Description The Gregus/Buczynski Lab is seeking a motivated postdoctoral fellow to join an extramurally funded, highly collaborative research program focused on developing new, mechanistically
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current