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: Among others, the following qualifications will be prioritised: Programming and algorithmic skills Experience in object-oriented programming Knowledge of .NET, HTML, CSS, JavaScript, and Bootstrap
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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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PeopleSoft, SAP, or Banner. Familiarity with machine learning frameworks. Experience in machine learning/deep learning-based algorithms with structured/unstructured data. Job Duties Respond and consult with
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theoretical and computational work is designed to integrate and abstract rapidly accumulating heterogeneous datasets, to propose critical tests of multiscale regulatory mechanisms, and to guide our own genetic
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their purpose and grow into the best versions of themselves. The candidate will organize, manage, and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic
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. Prototype autonomous systems for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA and with other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
and PhD students in designing, implementing, and testing ML/NLP algorithms, including data preprocessing, model training, and evaluation. Collaborate on the development of innovative solutions
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fundamental scientific principles with algorithmic innovations to empower discovery, understanding, and synthesis of materials with applications across critical societal domains – healthcare, manufacturing
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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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. Programming & Data Analytics (20%) Develop and implement algorithms for system identification, condition assessment, and structural health monitoring. Apply statistical and computational tools to assess