45 machine-learning-and-image-processing-"RMIT-University" positions at University of California Berkeley
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: 6468573 Postdoctoral Employee - Artificial Intelligence - Electrical Engineering and Computer Sciences Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined
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creative contributions in the area of machine learning & data analytics. The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives
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, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access
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motivated Assistant or Associate Project Scientist to join the Division of Biostatistics. This position offers an exciting opportunity to work at the intersection of statistics, neuroscience, machine learning
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, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education
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engineering to lead multiple courses each year. Disciplines where we are seeking instructors include: Computational Chemistry Computational Quantum Chemistry Scientific Computing Machine Learning/Deep Learning
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National Laboratory (LBNL) Advanced Biofuels and Bioproducts Process Development Unit (ABPDU), is seeking a highly motivated Postdoctoral Scholar in Fermentation Science. In this position, the Postdoctoral
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maintenance) and human/machine interaction, modularization, offsite production, digital twins, virtual design and construction, next-generation multi-scale systems, and digitally fabricated, reconfigurable
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of machine learning models, and exploratory data analysis. The Staller lab resides in the division of Genetics, Genomics, Evolution, and Development (GGED) in the Department of Molecular and Cell Biology. Max
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc