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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory
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involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias. Overall
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to both methodological AI research and applications in fundamental science. In this position, you will have the opportunity to develop and apply new AI algorithms for science. Our group also welcomes new
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at least one modern programming language, e.g. Python, Javascript, Java, etc. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis. Knowledge
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scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical
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Our research The research focus of the Berg lab has been to combine quantitative approaches of mathematics and physics with experiments using electrophysiology, genetics, tissue clearing and other
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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available under the following conditions: OBJECTIVES | FUNCTIONS Development and evaluation of machine unlearning algorithms for speech foundation models, including: - Selection and preparation of models and
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math and programming ideas into algorithms. The course uses instructor-led presentations and gamified exercises to teach core programming concepts, applicable across languages and environments. Students
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communication theory, signal processing, and wireless communications, • Extensive experience in physical (PHY) layer algorithm design and performance analysis, • Proven track record