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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 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 | 14 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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computational tasks throughout training period. Will develop, adapt, and implement novel research algorithmic techniques and software. Curates and analyzes data. Will work with state-of-the-art computing hardware
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system integration Hardware verification and experimental testing Integration of spectrum sensing and DoA algorithms on RFSoC platforms Integration and validation within the DRONE-SENSE platform
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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, allowing adapting to several conditions of use and to be managed automatically. AI algorithms will be selected, trained and tested. WP7 – Communication, dissemination and exploitation: Support for
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling