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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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scientific imaging (TR-FLIM, HSI, ISM), designing mathematical and unsupervised learning algorithms for nonlinear inverse problems, with reliable reconstructions even with limited data. Where to apply Website
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algorithms in autonomous or partially autonomous vehicles. The project will be developed both in simulation environments and through experimental activities. Where to apply Website https
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intersection of human-robot interaction and manipulation in healthcare settings. The project involves developing algorithmic solutions for an optometry application where robots assist optometry patients
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programme Reference Number AE2025-0602 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0602
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with