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for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries of performance, speed, and precision
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
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, quantum machine learning, quantum algorithms from well-established universities/institutes. The candidates must be highly motivated in multidisciplinary research. He/she must have proven experience in
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The Research Engineer’s role’s is to work on research projects which involves developing of metacognitive algorithms and integrating multi-sensors for autonomous moving robot. Key Responsibilities
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in soft robotics. PI is seeking to recruit a talented postdoc with a creative mindset and appropriate skillsets to deliver the project of soft grippers, particularly on coatings and interfaces
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applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools
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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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the values of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working
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candidates with expertise in the computational aspects of algorithmic design and a strong focus on applying these skills to real-world problems. The successful candidate will be expected to teach both