8 learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of California
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are built on a foundation of continuous learning and growth . We actively support professional development by providing all full-time staff employees with at least 80 hours of paid time per year and provide
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learning, and computational biology to adapt and augment existing open models for predictive biology. Approaches may include fine-tuning, parameter-efficient tuning, probing, and retrieval- or knowledge
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mentorship. Develop, implement, train, and validate machine learning and deep learning models for AI-driven prediction of cell physiology, metabolism, and functional behavior, with input from the research team
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
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: This position is represented by a union for collective bargaining purposes. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation
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to work in the U.S. at the time of hire. Visa sponsorship is not available for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity
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dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more informationclick here ). Want to learn more about working at Berkeley Lab