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experience unless stated elsewhere in the job posting. Skills: Analytical Method, Analytical Problem Solving, Analytical Solutions, Communication, Computer Literacy, Computer Usage, Data Analysis, Data
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members work in the department. The department has a strong connection with other departments of Linnaeus University and industrial and public partners. Subject area for the position: Computer and
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. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Proposed Start Date 03/16/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git
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Information Systems Usage (5%) ● Accesses order and vendor info via computer/software/tracking devices and may prepare reports Maintenance of Inventory Locations (5%) ● Arranges storage space, shelves goods
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Posting Summary Logo Posting Number STA00193PO26 Job Family Information Technology Job Function Information Security USC Market Title IT Security Analyst Link to USC Market Title https
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], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral