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Science, 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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The ability to work creatively and independently. Mahi Ngātahi | Who You Will Work With You will work within the Wireless Research Centre, and work closely with the Department of Computer Science and Software
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., Microsoft Suite, Adobe Acrobat Reader, skills and creative use of technology to create efficient workflows and statistical databases) Supervisory Responsibilities No Required operation of university owned
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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, resilience, and environmental sustainability analysis Software engineering for cloud platforms supporting transportation planning and operations The position includes opportunities to engage directly with city
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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: https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements for a Ph.D. (or equivalent) except the dissertation in
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cutting-edge knowledge. Required Qualifications & Experience PhD in a relevant field, including Biophysics, Cell Biology, Neuroscience, Cancer Biology, Biomedical Engineering, Bioengineering, or related
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of the future? Based on the insights generated through this ethnography, you will carry out a data harvest from social media platforms with the aid of a web developer provided by the project. Your tasks: You will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis