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Field
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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data into the software database. Aid in the development of processes, applications, and reports to enhance the efficiency of delivering and integrating Performance Science data into the database
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
to develop and implement pulse sequences and reconstruction algorithms on Siemens and GE platforms. Assisting in protocol optimization to ensure consistency and quality across imaging studies. Providing
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matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Job
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name
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in acoustic recordings collected off Oregon since 2021, and the development, training, and testing of a customized classification algorithm to automatically detect baleen whale calls in acoustic
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Research Associate will be responsible for developing and implementing machine learning algorithms to analyze genomes and predict disease risk in
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engineering principles and software development practices to assist a Senior Software Engineer in the design, implementation, testing, and refinement of control algorithms and system interfaces that support
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NUS Researchers and NUS Staff; Develop first-generation prototypes of systems and data endpoints through which NUS Researchers and Staff can access and use the NUS Data products; and Promote improved