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Field
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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academics holding leadership roles in the EPSRC funded UK MetaMaterials Network Plus. About the Project We have an exciting opportunity for a Post-Doctoral Research Associate (PDRA) to join the Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
modeling, or urban policy evaluation. - Experience with version control (e.g., Git/GitHub) and collaborative coding practices. - Able to think critically, proactively and work both independently and in
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academics holding leadership roles in the EPSRC funded UK MetaMaterials Network Plus. About the Project We have an exciting opportunity for a Post-Doctoral Research Associate (PDRA) to join the Department
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topics: Predictive Coding of Music, led by Peter Vuust (PI, Director) Multimodal Theme, led by Boris Kleber Music Interactions, led by Peter Keller Meaning of Music, led by Elvira Brattico (PI) and Morten
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Open Date 07/17/2025 Requisition Number PRN42561B Job Title Post Doc Res Assoc w/Ret Working Title Post Doc Res Assoc w/Ret Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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progress in human, animal health, and agriculture, but no progress for the environmental sector. The aim of this project is to fill this gap by launching a new international network — a UK-Chile
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to develop and progress the candidate’s career goals. Attend career development seminars and networking events. Administrative Duties (5%) Complete required research training. Perform general administrative
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation