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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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the structure–function relationships of periplasmic flagella, mechanisms of gene regulation, the cyclic‑di‑GMP signaling pathway, and factors contributing to bacterial virulence (https://microbiology
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Salary range: The posted UC system-wide salary scales set the minimum pay based on prior months of postdoc service (both domestic and international) before the start of appointment. See Table 23 and 23N
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/ Bioinformatician to join our collaborative, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 19 hours ago
activities will include collecting, processing, and analyzing geospatial datasets for major western U.S. wildfire events, such as the Dixie and Caldor fires. The participant will gain experience evaluating
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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consequences of genetic variation of a wide range of organisms across the biological kingdoms. Where to apply Website https://www.academictransfer.com/en/jobs/363884/post-doc-in-molecular-genetics-… Requirements
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. The project will focus on integrating quantitative and textual information, accounting for structural shifts in measurement processes over time, and developing scalable inference for high-dimensional settings