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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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Description The University of Nevada, Reno is seeking a motivated and innovative Postdoctoral Scholar to join its College of Engineering. This position is available immediately and offers an exciting
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 12 hours ago
for the postdoctoral position based on official transcripts and other documentation as required. If the candidate(s) will teach during their appointment, then additional teaching credentials are required. UNC Wilmington
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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impact? We are currently seeking a/an University Assistant postdoctoral 49 Faculty of Social Sciences Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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across learning sciences, computer science, machine learning, HCI and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required