35 machine-learning "https:" "https:" "https:" "https:" uni jobs at University of California, Berkeley
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Qualifications: Ph.D. Post-graduate training in field Understanding of large-scale proteomics data and placing it in a biological context Experience in Bayesian statistics, machine learning/artificial intelligence
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Nov-25 Location: Berkeley, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working
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analysis and reporting techniques, human resources policies and procedures for staff and academic employees. Knowledge of and/or can quickly learn common University-specific computer application programs
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our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague
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the minimum pay at appointment. See the following table(s) for the current salary scale(s) for this position: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.ucop.edu/academic-personnel
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values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for
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disposal guidelines. Bachelor's degree in related area and/or equivalent experience/training. Preferred Qualifications Knowledge of and/or can quickly learn common University - specific computer application
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- metal, glass fabrication services, specialty welding services, custom machining services, related services. Basic understanding of and/or quickly learn the University environment, its mission, and
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of advising and counseling techniques. Knowledge of and/or can quickly learn University-specific computer application programs. Knowledge of and/or can quickly learn University and departmental principles and