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performing experiments, analyzing data, contributing to manuscript and grant preparation, and mentoring and training laboratory personnel. Additional training and professional development opportunities aligned
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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). Remedies and complaint filing deadlines vary by program or incident. Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape
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. in computer science or a related field and will have prior experience collaborating with large, interdisciplinary teams. The candidate will be a strong self-starter who is capable of both working
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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function of various centriole and centrosome proteins using a variety of imaging and analysis techniques in living Drosophila embryos. Experience with advanced light microscopy and analysing large imaging
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grants, and lately large collaborative NSF ERC grants. For more information about the Chemistry Department of the University of South Dakota, please go to the website at www.usd.edu/Academics/Colleges-and
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time of appointment. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES
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and analyzing large secondary datasets, including but not limited to administrative claims data, electronic health records, national surveys, and disease registries. The applicant should have advanced
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population-level outcomes. Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims (MedPAR, Outpatient, Carrier, TAF). Develop reproducible code and