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Field
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multimodal fusion, robust pose estimation, and real-time processing. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation media
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algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication
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: build a digital twin in Isaac Sim/Lab for the robot cell; mirror the real setup with matching kinematics, collision geometries and dynamics Algorithm Implementation: Develop and deploy reinforcement
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vibrant department with active research clusters in algorithms, artificial intelligence, bioinformatics, computer networking, computer vision, graphics and Virtual Reality, high-performance computing, human
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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existing literature to address this gap. The student tasks will be to prepare the registration documents (e.g., PROSPERO), refine and test the search algorithm in relevant databases, import search results
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intelligence, deep learning, media data processing including images and videos, etc., including their applied fields) B) Optimization and related fields (optimization algorithms, mathematical optimization
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with key Analysts and the Research Data & Evidence team you will be responsible for managing work areas from the design and development of funding algorithms and quality assurance processes to delivery
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optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools. Support project-based learning
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas