141 computer-science-image-processing-"https:" Postdoctoral positions in United States
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and cellular biological techniques in neuroscience or stem cell biology. Work Schedule: In-person, 5 days a week, and 40 hours a week. Duties/Responsibilities: As a Post-Doctoral Associate, you will
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Preferred Education and Experience Ph.D. in Neuroscience, Cognitive Neuroscience, Computer Science, Data Science, Engineering
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the essential functions of the job as outlined in the position description. Preferences Strongly Preferred Skills: ● Solid background and working knowledge of computer science fundamentals including algorithms
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the essential functions of the job as outlined in the position description. Preferences Strongly Preferred Skills: ● Solid background and working knowledge of computer science fundamentals including algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
injections; histological and immunohistochemical analyses. Basic computer skills and use of Word, Excel, PowerPoint, Adobe Photoshop. Proficient use of the English language. Preferred Qualifications
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mouse models is required. Experience in bone and liver biology or willingness to develop an interest in inter-organ crosstalk are preferred. Required skills: Basic computer skills and proficiency with
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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an interdisciplinary translational imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response