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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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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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maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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a critical role in leading the seamless operation of a custom machine shop that specializes in creating precision components for research and development projects. This position will combine hands
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 16 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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computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to complete detailed
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Course Assistants for the 2025- 2026 academic year. Course Assistants will be utilized in the SNC to assist in the student learning process and to promote student success each semester. Course Assistants
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Non Tenure Track FTE 1 Scope of Job The School of Earth, Environmental, and Marine Sciences (SEEMS) welcomes applications for a Lecturer in Geology to instruct in the Environmental Sciences Program
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fluorescence microscopy (SMLM, SIM), integrating physical-mathematical models, machine learning, and compressed sensing for accurate and efficient reconstructions. Applicants must submit a project implementing