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Physics (CCQ) posted on the Flatiron Institute’s website at: https://apply.interfolio.com/178953 . The Visiting Scholar position will run for the full duration of the assistant professor position, i.e. up
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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: Bioinformatics, biostatistics, and health data science General computer science: programming, algorithms, and theory Software engineering The candidates must hold a doctoral degree in any of the areas listed above
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or computer science, or a related discipline (or equivalent experience). A doctoral level qualification involving methodologies deploying advanced statistical, mathematical or algorithmic techniques, or directly
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, domain adaptation, multimodal AI) to analyze plant and environmental data. Support the integration of AI algorithms with robotic and sensing systems for real-world deployment. Assist in experimental design
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scope is broad and varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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to the development of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation