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At the University of California, Berkeley , we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom, and belonging makes it a special
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enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford, the University of Melbourne, and the University of California, Los Angeles. We
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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dementia identification algorithms. This position is ideal for candidates with strong quantitative skills who are interested in aging, Alzheimer's disease and related dementias (ADRD), social determinants
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for Machine Learning (IFI), and the Group for Cognitive Neurophysiology (Medical Faculty). The team has research links with Bradley Voytek at the Halıcıoğlu Data Science Institute (University of California San
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allocated tasks, and communicates progress regularly. 5% Analyzes existing highly complex open source software or works to formulate logic and devises algorithms for new modular and composable software
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scientific discovery. Deploy, optimize, and tune algorithms and software developments within high-performance computing (HPC) environments. Collaborate actively in a multidisciplinary team environment
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Linux/Unix, and running algorithms on CPUs and GPUs Deep learning frameworks, particularly Python and PyTorch Medical image segmentation and computer vision model development Large language models and
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modeling approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and
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of neuroscience, data science, artificial intelligence, and computational research. You will collaborate with investigators and research teams to develop, analyze, and optimize computational tools, datasets, and