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: 280363223 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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of Medical and Translational Biology and the Wallenberg Centre for Molecular Medicine (WCMM) is offering a postdoctoral scholarship within the project “exploring sensory physiology in non-standard vertebrate
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manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
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programming, algorithm development and deep learning model implementation, and practical experience in drone and boat-based surveys are preferred. Background Investigation Statement: Prior to hiring, the final
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: Further Info: https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Research-Associate---Machine-Learning-in-High-Energy-Physics-Detector-Operations_421270 9700 South Cass
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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underlying various biological networks. The systemic dynamics team aims to develop digital medicine for sleep disorders based on health-wearable devices via mathematical modeling and machine learning. In BIMAG
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
: 311391 Vacancy ID: PDS004746 Position Summary/Description: A position is available for a Postdoctoral Research Associate (RA) in the lab of Dr. Nicholas Brown, Department of Pharmacology and the Lineberger
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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data