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the LLM effectiveness. Key Responsibilities: Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs. Working closely with other Postdoc/RA/PhD students
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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on other infectious disease analyses. It would be an excellent role for an enthusiastic candidate looking to develop their skills in bioinformatics and evolutionary genomics, with an interest in parasitology
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— including AMRs/AGVs and exoskeletons. Proficiency in C, C++, and Python, with experience writing robust, task-specific algorithms for perception, localization, mapping, navigation, and control. Solid
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. Explore cutting-edge advancements in AI and relate it to the main research objective. Experimentation & Implementation Assist the team in developing and implementing related algorithms, models, and
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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power electronics converters, control, and energy systems. Design, simulate, and implement power electronic converter prototypes and associated control algorithms. Perform experimental testing, data
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Designing and developing scalable algorithms