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-dimensional flow cytometry for immune profiling • Present findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Contribute to manuscript writing and data
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to $75,000; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays
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research team members on data analysis, and disseminating findings through scientific publications and conference presentations. Ideal candidates will have strong experience in MD simulations, QM chemistry
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graduate and undergraduate students in the research group. 90% Research Conduct research related to specific externally-funded projects, including collecting and analyzing data, troubleshooting challenges
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analyze data for experiments evaluating vernalization requirements in different turfgrass species such as perennial ryegrass and hard fescue. Investigate the molecular regulation of vegetative-reproductive
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, immunofluorescence, PCR, qPCR, cell-based assays, fluorescence calcium imaging. • Perform data acquisition and analysis, grant and manuscript preparation, and presentation of findings at weekly lab meetings
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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and Benefits Pay Range: $62,232 annually; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow