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Field
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of innovative AI approaches for mental health research by designing neural networks and large language models for difficult-to-treat depression. You will contribute to the design of research materials and data
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diverse set of time-dependent forecasting models (e.g., neural network, mechanistic, statistical, and data-driven) to serve as experts within the integrative architecture. (iii) Mixture-of-experts
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine
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on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed Neural Networks (PINNs) and machine-learning-enhanced traffic models
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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Biology: Development of deep learning, graph neural network, generative AI, and RNA foundation models to analyze large-scale omics, spatial transcriptomics, ribonomics, and imaging datasets. Application
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relevant to the project, namely in the development and application of neural networks to mechanical engineering problems, and excellent understanding and writing of the Portuguese language and the
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and neural science, and an interdepartmental neuroscience graduate program: http://neuroscience.med.utah.edu . Beyond the department, faculty benefit from extraordinary opportunities
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subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/ . DEPARTMENT OF BIOMEDICAL ENGINEERING Assistant Professor in Sports Science (Ref. 260724014