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on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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delivery of technical objectives. 6. Serve as the technical authority in radar/RF sensing, guiding architecture, algorithm development, and system design decisions. 7. Lead development and evaluation
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Posting Description AI POLICY ASSOCIATE, Abdul Latif Jameel Poverty Action Lab, has launched an initiative at the intersection of Global Development and Artificial Intelligence, Project AI Evidence
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 21 minutes ago
mechanisms Investigate options for algorithms, coding languages, development frameworks, and APIs both locally and in the cloud, to advise Center researchers on their development project options and trade-offs
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) experience in large model training, knowledge distillation or efficient deep learning algorithm development, foundation model implementation and optimisation; and (c) good communication skills in English
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described below? Are you our future colleague? Apply now! Your duties may include: Algorithm Development: Evaluate, select, and apply advanced scientific methods to create data applications, dashboards, and
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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necessary for a diversity of projects. Is Your profile described below? Are you our future colleague? Apply now! Your duties may include: Algorithm Development: Evaluate, select, and apply advanced scientific
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reinforcement learning algorithms and contribute to the joint development of the broader modelling and policy framework. Your work will focus on multi-criteria reinforcement learning, uncertainty-aware decision