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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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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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influence neural differentiation in the early embryo. Under the supervision of Dr. Yaser Atlasi, the successful candidate will employ CRISPR/Cas9 gene editing to delete different members of the 1C metabolism
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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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immediate 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
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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