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telecommunication as well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable
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an advantage. Familiarity with surrogate modelling and physics-informed neural networks (PINNs) for generalising simulation-based predictions would be an advantage. Experience Experience integrating simulation
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ideally with knowledge of artificial sensors and neural networks. You will have access to state-of-the-art facilities at Bristol Robotics Laboratory, the largest centre for multidisciplinary robotics
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, differential equations, linear algebra to answer how neural computations are implemented in neural networks, both in individual neurons and at the level of large circuits. We are computational group that works
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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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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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Biopsychology (m/f/x) Our group investigates the neural basis of cognition and behavior using pigeons as a model system. We combine advanced behavioral, anatomical, and neuroimaging approaches to study the neural
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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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and neural science, and an interdepartmental neuroscience graduate program: http://neuroscience.med.utah.edu . Beyond the department, faculty benefit from extraordinary opportunities