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Duke University invites applications for the position of Adjunct Professor to teach the course “Marketing Technology” (MarTech) in Fuqua’s Daytime MBA program in the fall of 2026. This course covers the
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tasks, meet deadlines, and maintain confidentiality Strong organizational and time management skills and attention to detail Computer and related software skills to include Word, Excel, PowerPoint
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Intelligence and Machine Learning: We invite applications from candidates with expertise in reinforcement learning, computer vision, robotics, and embedded intelligence, and AI hardware acceleration
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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Department of Computer Systems is internationally highly appreciated scientific and learning centre, which scientific competency is focused on creating of technical systems based on computer systems
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both undergraduate and graduate levels. Applicants for the Research Assistant Professor position
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behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health
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intelligence, machine learning and data science. You will play an active role in the research team, publish papers, take part in workshops, public events and other activities. The candidates should have a
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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assigned by overseeing faculty. Minimum Qualifications: Ability to learn and perform assigned work; follow oral instructions; work cooperatively with faculty, staff, and other students; communicate