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desirable. Familiarity with explainable AI, causal inference, or biologically inspired neural networks, as well as experience collaborating with experimental laboratories, will be considered strong assets
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suitable candidates for the position of Program-Specific Researcher (Postdoctoral Fellow) to accelerate its mission. The Cognitive Neurobiology Group (Amemori Group) conducts research on the neural basis
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recordings, behavioral training, and visual experimentation, while also developing and testing deep neural network models of visual representation. In short: experiments first, models second. Current and
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incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/) and the department has close
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/ ) and the department has close
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research fellow to work on the development of Physics-informed neural networks (PINNs
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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leader will be Professor Jonathan Robert Whitlock (read more about the group at: https://www.whitlocklab.org/). About the project The successful candidate will perform large-scale neural recordings in
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can