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design. The successful candidates will contribute significantly to the group’s mission in leveraging AI for scientific discovery. The successful candidates will conduct groundbreaking research
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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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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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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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to the effective date of appointment with a minimum of one year eligibility remaining. • Experience in computational data analysis and scientific programming (e.g., Python, MATLAB, or similar). • Demonstrated
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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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• 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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to the effective date of appointment with a minimum of one year eligibility remaining. • Prior experience working with animal models (rodents or other mammalian models). • Evidence of scientific productivity through
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and graduate students • Participating in proposal development • Limited teaching or guest lecturing opportunities, as appropriate A mentoring plan will be co-developed at the start of the appointment