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and analyze data for presentation; work at the command-line in for neuroimaging processing and analysis (FSL, AFNI, in-house software tools). Assist with modifying computer scripts and analytical
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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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degree in Signal Processing, Machine Learning, Information Engineering, Applied Mathematics, Information Science, or other related majors is required. Consideration will also be given to candidates who
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will have a background in contemplative neuroscience and experience with machine learning approaches such as support vector machines, gradient boosted trees, or convolutional neural networks. A Master’s
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, or machine learning. Strong programming skills, preferably in Python. Familiarity with modern computer vision or deep learning frameworks. About the Department The Department of Neuroscience is committed
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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
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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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Neurology Scientist, Assistant/Associate/Full Professor, Neurology, Neurodegeneration (Tenure-Track)
faculty from the Departments of Neurobiology & Behavior, Biomedical Engineering, Electrical & Computer Engineering, among other departments across the health science and undergraduate campuses. Stony Brook
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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from Ulster’s wide-ranging expertise in Computational Neuroscience, Neurotechnology, and Machine Learning and access to cutting-edge neuroimaging facilities such as NIRS/EEG/MEG and will interact with