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improvements and algorithmic decisions. Collaborate with entomologists and field teams to improve data collection, labeling, and training dataset quality. Contribute to publications and presentations describing
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
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test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills. Where to apply Website https
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of signal processing and machine learning algorithms for the extraction of acoustic, prosodic, and semantic parameters from voice recordings. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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of life. The contribution of POLIMI focuses on integrating this technology with the development, optimization, and validation of an AI-assisted computational platform, based on advanced algorithms, capable
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Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist – Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward