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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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focus on the synthesis and self-assembly of bio-based glycopolymers with comb-like architectures for the design of colored structural materials. These copolymers exhibit interesting properties due
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
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The Cambridge Sustainable Design Group within the Department of Architecture invites applications for a Research Assistant or Research Associate to work on the Health-driven Design for Cities (HD4
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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., and Satish Mahadevans, Ph.D. Research Assistants to support projects that streamline talent-market insight pipelines and develop agentic AI agent architectures. These roles offer hands-on experience in
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evaluating raw data. · Manage data storage, backup, and retrieval. Troubleshoot networked computers and network architecture/connections to facilitate data transfer, storage, and retrieval. · Work together
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the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
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with SQL and basic database concepts Desirable: Experience with LLMs, NLP, embeddings, semantic search, or generative AI Familiarity with RAG architectures, vector databases, or knowledge-enhanced AI