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Field
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. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g., based on Gaussian
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the following. Other duties may be assigned. 1. Research, develop, validate, and deploy AI models, algorithms, and data pipelines for processing large-scale structured and unstructured datasets, leveraging
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Start Date: 26/06/2026 Apply AI/ML models and screening algorithms for the accelerated design and structural discovery of novel porous materials (e.g., MOFs/COFs); Conduct laboratory synthesis, activation
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postgraduate levels. We welcome applications from candidates whose research aligns with any area of Artificial Intelligence, including but not limited to Mathematical Theories for AI: Algorithmic Optimizations
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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visual technology and LLM, and the interface of AI algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms and also be actively involved in the development AI tools
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interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized
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technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum