191 algorithm-development-"Prof"-"Prof" positions at University of California, Berkeley
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Sep-25 Location: Berkeley, California Type: Full-time Categories: Development Staff/Administrative Internal Number
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/Administrative Internal Number: 6507839 VSV Experimental Evolution, Staff Research Associate (9613C) - 80725 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community
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Skip to main content Recruit Home Open Recruitments Lecturer - Development Engineering - The Blum Center for Developing Economies (JPF04911) Lecturer - Development Engineering - The Blum Center
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performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual reality. They are also developing fast and robust autonomy solutions using
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description Professor Vetter's Lab research interests are in the development and demonstration of new concepts and technologies in radiation detection to address some of the outstanding challenges in
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/trustworthy algorithms and algorithmic decision making.. We particularly seek candidates whose research in the broad area of cybersecurity positions them to work closely with or help lead the Center for Long
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designed to address questions related to the myriad ways in which AI may reshape individual lives, possibly exacerbating existing inequalities and creating new ones. This can include research in algorithmic
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related to the myriad ways in which AI may reshape individual lives, possibly exacerbating existing inequalities and creating new ones. This can include research in algorithmic fairness, AI and the economy
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efforts of developing and applying methods for applying proteomics and genetics data collected in situ for integrative structure modeling. Critical aspects of the research include: (1) Designing and
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that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms. •Develop machine learning approaches