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If you are a current Barnard College employee, please use the internal career site to apply for this position. Job: Graduate Student Mentor for the Barnard College Mellon-Mays Fellowship Program Job
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to explore how AI can improve public services, with a focus on temporary housing, social care, the local economy, and sustainability. Your work will involve developing predictive models to help prevent
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temporary housing, social care, the local economy, and sustainability. Your work will involve developing predictive models to help prevent homelessness and improve the way temporary accommodation is allocated
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
throughout the world. In addition to our graduate program, we provide instruction to medical, nursing, physical therapy, and physician assistant students. ECU is located in the coastal region of North Carolina
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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Modeller to support our Ocean, Coastal and River Engineering (OCRE) Research Centre. The successful candidate would be someone who shares our core values of Integrity, Excellence, Respect and Creativity. We
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. The applicant will be expected to recruit graduate students (from the interdisciplinary Genome Science and Technology Program) by year 3. A competitive startup package including support for PhD students and
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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of Philosophy in Electrical and Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Sydney Moore Doctor of Philosophy in Applied Animal Biology (PhD) Improving herd health
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation