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Field
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; ● Experience compiling, processing, and analyzing large spatial fisheries datasets and/or fishing fleet behavior (via e.g., AIS data) in management contexts; ● Demonstrated understanding of how insights from
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for strategies to understand and treat bacterial infections, with intensely translational efforts focused on discovering and developing new antibacterial agents. We are advancing antibacterial compounds already
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20251282F Position Title
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
molecular biology, genetic crosses, light microscopy, and quantitative image analyses in C. elegans. Because we study living worms, our experimental protocols sometimes require work outside of business hours
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job
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-of-the-art computational and statistical methods for integrative analysis of multi-omics datasets. Utilize high-performance computing environments to process large-scale datasets and analyze large-scale
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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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experience with managing, processing, and analyzing large datasets and strong programming skills especially in Python. ● Experience working with transmission power flow and machine learning models. ● Strong
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electrophysiology, cellular biophysics, imaging, aging, and proteomics. Training in a variety of super-resolution quantitative microscopy and image analysis techniques, mass spectrometry, use of mouse modes and human