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1,000 full-time instructional faculty. General Information: The JMU Optimization & Algorithmic Theory (OAT) Lab is looking for up to four (4) student research assistants (RAs) to join our team! The OAT
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for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust, intelligent, sustainable, and evolving (RISE
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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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Responsibilities: Conduct research on differential privacy algorithms with applications in computational processes. Develop innovative ideas to enhance existing algorithms and frameworks. Collaborate on applying
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Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a
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, whilst having experience with implementing Bayesian algorithms will be an advantage. A background in biology is NOT required. The post is for up to 6 months, to 31st March 2026. Additional funding is
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the research topics that excite us as a group include: (i) Ethics of AI and Automation; (ii) Social Media Analysis (iii) Algorithmic Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with