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Field
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experience in real time synchrotron experiments. Preferred Qualifications: PhD in Physics, Chemistry, Chemical Engineering/Materials Science or a closely related field in hand by September 1, 2025. Expert
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of teaching one undergraduate class, if they are interested, and have an opportunity to share their research at the Center’s regular workshops and conferences. Minimum Qualifications PhD in Digital Humanities
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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. upon hire. Preferred Qualifications PhD in a physical science or engineering field. Experience in high-contrast imaging data reduction. Experience in exoplanet and/or debris disk science. Experience
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. Department Specific Qualifications Education: PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years. Experience
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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in
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-motivated, creative, productive, and organized. Successful candidates should possess expertise in statistical programming languages such as SAS, Stata and/or R. There is funding available for these positions
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knowledge with Master’s and PhD students. You will actively contribute your expertise to the acquisition of third-party funding and independently advance the "AAAging" project. The independent teaching of
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis