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interpretable machine-learning models, including approaches for uncertainty quantification, model calibration, and transferability. The Postdoc will also contribute to the development of reproducible
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epitaxy, electrocatalysis and electrochemistry, surface characterization with spectroscopy or electron microscopy, operando spectroscopy, electrochemical scan probe microscopy, and machine learning
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different theories of the ‘population code’, gaining a causal understanding of how population activity drives actions. The postdoc will work with the PI to develop an independent project, that leverages
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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to develop fundamental theory and methods that enable machine learning systems to be deployed in a trustworthy manner. The project spans human-AI interaction, fairness, transparency, privacy and other
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analysis and machine learning (AI) methods and software. All of this will be specific to longitudinal imaging, i.e., where we have more than one timepoint imaging from each participant. Background: The OxCIN
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 8 days ago
Rachel Bawden. The PhD candidate will use the gold data and evaluation framework produced by the postdoc to train and evaluate normalisation models. David Smith (Northeastern University), a specialist in
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic