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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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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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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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well as the heterogeneity of cell states and their spatial distribution within a tumor. CyCIF is applied to tissues from a diverse set of sources, including genetically engineered mice, patient-derived xenografts propagated
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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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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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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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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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knowledge of VBA and Excel is preferred. Strong knowledge in areas of Computer Science that are relevant for financial databases and modeling, including data structures and algorithms. Excellent computer
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, and distributed algorithms and software development Faculty members teach and perform associated curriculum development, assessment, and accreditation support for core and elective courses in one