76 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" "UCL" Postdoctoral positions at Stony Brook University
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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microfabrication for live-cell applications; experience with quantitative analysis of protein expression levels. Currently holds unrestricted employment authorization for the U.S. Preferred Qualifications: Strong
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associated with the NYB. Funding is provided by the New York State Department of Environmental Conservation (NYS DEC). More information about the New York Bight Indicators project can be found here: https
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associated with the NYB. Funding is provided by the New York State Department of Environmental Conservation (NYS DEC). More information about the New York Bight Indicators project can be found here: https
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microfabrication for live-cell applications; experience with quantitative analysis of protein expression levels. Currently holds unrestricted employment authorization for the U.S. Preferred Qualifications: Strong
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), automated testing, and documentation for open-source research software. Preferred Qualifications: ● Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI
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software. Preferred Qualifications: * Experience with neuroimaging data modalities (e.g., EEG, fMRI) and familiarity with how empirical neural data can inform or validate computational circuit models