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Field
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: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position
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: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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in clinical trials. Regularly report on improvements or challenges. Documentation will occur via an online database 4. Support training and testing sessions: Coordinate the scheduling of training and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
. around Mars) through a set of cooperating communications relays, the burden on DSN scheduling can be significantly reduced. The use of frequency division (OMSPA) enables all probes communicating through
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of early pre-malignant development of ovarian carcinoma and development of early detection/screening tests/algorithms of ovarian cancer. Qualified candidates must have a Ph.D. degree in Biology, Cellular
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. Location of Vacancy Part/Full Time Full Time Hours per Week 37.5 Work Schedule Monday – Friday 8:30 AM to 5:00 PM Must be willing to work a flexible schedule to meet the needs of the department. Type
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limitations or potential issues with datasets and data types that may impact performance from machine learning algorithms. Re-trains models as needed to address new challenges or novel goals. Aids investigators