10 phd-machine-learning research jobs at University of San Francisco in United States
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for the Kiriyama Postdoctoral Fellowship. The term of the appointment is for 10 months during the 2024-2025 academic year. The Kiriyama Postdoctoral Fellowship is intended to promote the career of a recent PhD by
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machine learning. - Basic programming skills in Python or willingness to learn. - Familiarity with deep learning concepts is a plus but not required. - Ability to work effectively in a team environment and
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programming. • Who has strong mathematical and statistical skills and facility with topics including linear algebra, probability, regression, and machine learning. Research Assistant Duties Research assistants
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metrics under supervision. ● Workingtodevelop Content Creation. ● Learn about analytics and data reporting best practices. ● Research industry trends for team use. Qualifications: ● Enrolled in a degree
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have two tasks: 1. Perform numerical analysis (using methods I developed) to obtain plasma properties (temperatures and densities of particles). 2. Employ deep learning neural networks to train the
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algorithms and models for VRU detection and safety assessment. Utilize deep learning methodologies for video and point cloud object recognition and detection. Implement and optimize GNN architectures
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underrepresented racial and ethnic groups in the U.S. professoriate, by providing an opportunity for final-year doctoral candidates and newly-graduated PhDs to gain teaching experience and advance their research
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/ Qualtrics • Experience in graphic / info graphic design • Experience with analytics (R/Python) and database management • Openness to learning ArcGIS / spatial modeling tools Supervisor Full-Time/Part-Time
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vehicle to each site and between sites. Additional Expectations: Engage intellectually with the research being done; be inquisitive and ask questions to learn about the approaches and techniques being used
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structured random data to test computer programs. Duties Your duties as an RA are: Attend weekly meetings with the supervisor. Become familiar with the inner workings of existing tools in the domain. Implement