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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
vision problems, implementing and evaluating algorithms. The research assistant will also write papers to summarize the contributions of the proposed algorithms. Minimum Education and Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
, storing, disseminating, and translating data into actionable insights. * Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover
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benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms for automated data interpretation and reporting; completing relevant
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be used for the personalization of diagnosis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project consists in the development algorithms for the indirect estimation
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includes the development of a preliminary processing chain featuring phase synchronization, accurate trajectory estimation, time-domain multistatic focusing, and algorithms for the estimation and
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. The research will focus on: i) the theoretical formulation of multi-view constraints for quadrics and conics; ii) the development of robust algorithms for pose estimation, reconstruction and self-calibration
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machine learning, human-AI collaboration and algorithmic decision-making, recommender systems and personalization, causal inference and experimentation, digital platforms and online communities, data
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. AI