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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 4 hours ago
Posting Details Posting Details Vacancy Number PD-0029 Working Title CSE Postdoctoral Scholar - (Pooled) Position Number PD0033 Location of Workplace Main UNCW Campus Brief Summary of Work for this
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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scientific programming using Python and MATLAB, including experience with machine learning and data science libraries such as PyTorch, MONAI, TensorFlow, Scikit-learn, and related tools for 3D medical image
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI
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meaningful impact? We are currently seeking a/an University Assistant postdoctoral 47 Faculty of Psychology Startdate: 2026-05-01T00:00:00Z | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from
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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep
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/ Center / PI Job Title: Postdoctoral Associate/Research Scientist - Electrical/Computer Engineering Office/Location: SUNY Polytechnic Institute The Wireless and Intelligent Next Generation Systems (WINGS
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and