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. Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction. Conduct experimental validation of humanoid robotic systems in lab and real-world environments
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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architecture, integrate AI solutions, and optimize investment systems to support high-impact decision-making. As the principal technology adviser and business partner, the incumbent drives alignment with
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. • Search Engine Optimization (SEO): Implement basic search engine optimisation best practices to improve website visibility. • Technical Liaison: Coordinate with IT/web developers for major updates
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Geospatial Laboratory. This pivotal role ensures seamless functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating
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with the team. Lead sensor deployment experiments in controlled and semi-controlled aquaculture environments; optimize and calibrate and validate sensor streams for real-time analytics. Prototype and test AI
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efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings. Implementing and validating algorithms in both virtual and real-world scenarios to optimize performance in indoor
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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. Support the development of educational offerings and research initiatives including logistics and costings. Manage and drive medical research projects and initiatives to optimize shared resources, budgets
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon