19 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of California, Berkeley
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research program at the intersection of aging biology, genomics, and machine learning (AI/ML). Our lab is tackling the fundamental questions in the field of aging using a multi-disciplinary approach. We
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educational leadership. Quality, Safety, and Learning Environment Promote a culture of patient safety, professionalism, accountability, and continuous learning. Ensure residents and fellows are appropriately
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experience Excellent organizational and interpersonal communication skills (verbal and written) Willingness and ability to learn new methods and skills for changing research priorities. Ability to work
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discovery. UCSF is committed to creating and maintaining a supportive work and learning environment that attracts the best faculty, staff, students, and trainees. We are seeking a passionate, dedicated
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specific additional expertise in data science/machine learning documented by doctoral work, publications, and grants. The candidate will have publications and demonstrated capability to compete for grants in
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training for residents, including direct observation, video review, structured feedback, and skills-based teaching within clinical encounters. The role emphasizes experiential learning, integration
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-task and prioritize Excellent communication skills Flexible schedule – ability to work evenings and weekends Meticulous record keeping abilities Able to learn complex tasks with general instruction. Able
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health, clinical practice, and scientific discovery. UCSF is committed to creating and maintaining a supportive work and learning environment that attracts the best faculty, staff, students, and trainees
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developing or implementing artificial intelligence and machine learning algorithms for assay interpretation and sign-out are especially encouraged to apply. Please apply online , with a CV. The posted UC
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and validation in ex vivo human samples as potential biomarkers for diagnostic development. Further, they will learn other advanced molecular imaging techniques, including spatial transcriptomics with