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Lawrence Berkeley National Lab’s (LBNL ) NERSC Division has an opening for a Machine Learning Engineer to join the team. In this exciting role, you will serve as a Machine Learning Engineer in
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, including the development and management of industry engagement initiatives. Knowledge of and/or can quickly learn University-specific computer application systems for Admissions and Advising Thorough
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: The Major and Minor in Education programs; The Masters in Education and California Teacher Credential programs; and the PhD in Education program. The Masters/Credential program is unique in
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medical physics, diagnostic medical physics, or nuclear medical physics. PhD in Medical Clinical Physics Previous experience in an academic setting supporting radiation oncology services. Outstanding
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electrical engineering, physics, computer systems, or related field (PhD preferred). 4+ years of relevant experience beyond Master’s; 5+ years in beam diagnostics/instrumentation preferred. 3–5 years
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of hire Graduation with a master’s degree or PhD from an accredited Physician Assistant program, or completion of certified Physician Assistant training from an accredited program Clinical experience in
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and on the telephone; and to effectively respond to individuals who may be angry or upset. Ability to efficiently use computer system applications for all functions required for this position, including
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use computer system applications for all functions required for this position, including electronic mail, spreadsheets, word processing, and medical office management, (i.e. scheduling, template
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medical education physicians, must be facilitated. PhDs and MDs are joined in mutual research efforts to seek new knowledge in the treatment and prevention of blinding eye disease. All of this is
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): ELEG (ELECTRICAL & COMPUTER ENGINEERING) Percentage of Time: 100% Union Code (Name): 99 (Non-Represented) Employee Class (Appointment Type): Staff (Career) FLSA Status: Exempt Classified Indicator