12 machine-learning-phd 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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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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/ 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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GPT or or natural language processing. 4. Proficiency in programming languages, such as Python. Experience with frameworks for machine learning, such as TensorFlow is a plus. 5. Solid analytical and
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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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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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technology is required, while some familiarity with the space is preferred but not required. The Research Assistant will need to be able to use (or learn quickly) Google Sheets (or Airtable) for data