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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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/Mey 24G8b1X Deadline for submission of applications: 19 December. TITLE OF THE POSITION OFFERED: Research and Development in Machine Learning for smart cities. SUBJECT AREA: Computer Science. TYPE
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 17 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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Posting Summary Logo Posting Number STA00014PO26 Job Family Enrollment Management Job Function Admissions USC Market Title Admissions Representative Link to USC Market Title https://uscjobs.sc.edu
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Posting Summary Logo Posting Number STA00017PO26 Job Family Alumni Relations and Development Job Function Development USC Market Title Director of Development Link to USC Market Title https
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https
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of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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collaborative problem-solvers specializing in data science, statistical, and/or machine learning methods and tools, and have worked with various forms of data, including text. They should also enjoy conducting