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in Stanford Data Science, the Stanford Institute for Human-Centered AI, and the SLAC Machine Learning Program. The successful candidate will work with members of the Center and with KIPAC scientists
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, and mechanical fabrication processes. Experience applying engineering principles to develop scalable and modular systems for experimental applications. Ability to design, prototype, and fabricate
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in immunology and interest in translational research. The successful candidate will join the Section of Surgical Sciences in the Division of General Surgery, and work on a project aimed to understand
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-on engineering with mentorship and thought leadership. You will prototype and productionize--presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical
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of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements*: Constantly perform desk-based computer tasks. Frequently
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video environment and online distribution. Demonstrated ability to perform repairs on a wide variety of audio, visual and computer equipment. Ability to adapt equipment setup and provide alternative setup
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an ACGME-accredited program, and have medical licensure in California by the start date. We are particularly interested in candidates who have strong experience in clinical care and program building
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experience engineering and maintaining data pipelines, including ETL processes, data cleaning, and data validation. Experience with data modeling and standards (e.g., OMOP CDM) is highly desirable. Strong
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License. PHYSICAL REQUIREMENTS*: * Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. * Occasionally sit, reach above shoulders, perform desk based computer tasks, use a
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. PHYSICAL REQUIREMENTS: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and