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Field
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: to understand the neurophysiological mechanisms and brain networks involved in neurological and psychiatric disorders (epilepsy, Parkinson's disease and obsessive-compulsive disorder), and to optimise
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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and analysis of human perception, cognition, decision-making, attention, memory functions, learning, language production and comprehension, action control and more. INCC biologists do outstanding
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neural networks, transformer architectures, diffusion models, foundation models for biology and medicine, and agentic AI workflows such as autonomous analysis agents. In close collaboration with clinical
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changes. The successful candidate will join a collaborative research environment within the Department of Neurology and will have access to interdisciplinary research networks across OSU's Wexner Medical
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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hundreds of hours of exposure) in order to estimate systematic errors. - Develop open-source analysis pipelines for extracting diffuse emission from objects with very low surface brightness. Take into
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sciences, such as cellular EM, volume EM, or cryo-EM. A solid understanding and proven expertise in Python and the use of computational techniques, preferably neural networks, for data analysis and
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT