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Field
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biologically realistic spiking recurrent neural networks (SRNNs). You will use the efficient spike coding framework , in which a network is not trained by a learning paradigm but deduced using mathematically
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) experience with neural network training and language model fine-tuning; (2) background in natural language processing, linguistics, and/or human reasoning; (3) strong coding skills; and (4) strong
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Shen Yidong. The school’s computer science discipline has consistently ranked in the global top 1% in the ESI rankings, with a particularly strong position in the area of Artificial Neural Networks
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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(Random Forest, SVM, Fully Connected Neural Networks) will be essential for feature selection, model training, and biomarker ranking. Additionally, you will perform proteomics profiling of melanoma clones
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at the Princeton Neuroscience Institute. The lab studies neural mechanisms of cognition in the primate brain. Intracranial recordings from human epilepsy patients and non-human primates are conducted using identical
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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, convolutional neural networks, and Gradient-weighted Class Activation Mapping. Understand all phases of the research process including hypothesis generation data collection, preparation, modeling, evaluation.
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on knowledge graphs and graph neural networks. Health data is indefinitely siloed, split across various systems and formats, using different ontologies, making it challenging to integrate, harmonize, and analyze
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software tools the development and validation of neural network models focused on representing the structural response physical experimental testing for structural and geotechnical applications data