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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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clinical trials, advanced computational methods, neuroimaging, brain stimulation, body-machine interfacing, gamification of therapy, assistive technology design, development and evaluation, outcome measure
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. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms. Assist with organizing large
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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grants and program project grants in the future. Individuals with innovative applications of Artificial intelligence (AI), machine learning, bioinformatics and computational models in perioperative
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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with experience in data-intensive research, machine learning, and artificial intelligence are especially encouraged to apply. About the Department: The Department of Physics hosts active research groups
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Neurobiology, Neurosurgery, and Biomedical Engineering with opportunities in neuromodulation, brain-machine interfaces, and molecular engineering; (2) A thriving Alzheimer’s Disease Research Center with
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Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire