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awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience in high-throughput sequencing data analysis. - Track record of first
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. • Experience with data analysis software (R, Matlab, etc.) Appointment Type
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Qualifications -Postdoctoral associate applicants must have a background in quantum information and hold a Ph.D. in Theoretical Physics, Theoretical Quantum Chemistry, or a closely related field. PhD must be
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- Significant statistical analysis experience with multilevel and/or longitudinal data - Strong conceptual and written communication skills Preferred Qualifications - Staff and graduate student supervision
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research at the intersection of computational materials science and machine learning. Required Qualifications - Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, or a closely related