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Skip to main content Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics – Advanced Bioimaging Center – Department of Molecular and Cell Biology Apply now to Assistant
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computational biomedicine. We seek outstanding researchers with training in AI/machine learning, computer science, statistics, mathematics, physics, or related quantitative fields who aim to develop innovative
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statistics and computer science in the areas of Machine Learning (ML) and Artificial Intelligence (AI). We seek exceptional candidates who will expand our strength in shared research areas of critical need
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will have demonstrated excellence in using modern empirical methods—including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal
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program at the time of application. Preferred qualifications Preference will be given to applicants interested in AI and machine learning methods development that advance the understanding of complex
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departments across six colleges at UC Berkeley. About the Position : EECS and CCB are seeking applicants developing innovative AI and machine learning (ML) methods that significantly advance our
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academic departments across six colleges at UC Berkeley. About the Position : EECS and CCB are seeking applicants developing innovative AI and machine learning (ML) methods that significantly advance our
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with machine learning, natural language processing, or AI methods applied to health data. • Demonstrated expertise in one or more of the following areas: digital health, health AI, health informatics
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function. Our work combines experiments, theory, computational modeling, simulations, machine learning, and evolutionary comparison. We work on yeast, human, and plant transcription factors. We are
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Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically redirected to an external site after 5 seconds) Save job Click to