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. These benefits include: Health & Wellness Access to a comprehensive vision care plan with low-cost exams and allowances for glasses or contact lenses Employee Assistance Program offering no cost confidential
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the scientific strategy for delivering GBI’s vision. Essential Knowledge, Skills and Experience: A PhD in a relevant scientific discipline, such as synthetic biology, computational biology and AI, microbial, plant
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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the management of appropriate educational, therapeutic and health care services for each student in the classroom, as indicated in the Individualized Education Program. PRIMARY DUTIES AND RESPONSIBILITIES
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stakeholders including Chairpersons and Program Directors across the institution to set a long-term strategic vision for the department Show willingness to make difficult decisions, balanced with listening
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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-Chancellor (Research) will play a pivotal role in this new chapter as a key member of the University senior team. They will be responsible for articulating a coherent vision and strategy for research and
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program development and assessment. This position is also responsible for managing the division budget, teaching and learning assessment, and works in concert with VPAA to recommend faculty appointments
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision