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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 25 days ago
to advancing algorithms for human-centered robots: robots that are not working autonomously in isolation, but that instead react, interact, collaborate, and assist humans. To do so, these robots need
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on network behavior; 5) knowledge of computer network modeling; 6) familiarity with issues related to autonomous vehicles of the AGV type; 7) knowledge of signal regulation algorithms, such as fractional order
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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algorithm of the PotionDB system (https://github.com/AndreRijo/potionDB ); • Evaluate the proposed improvements in a geo-distributed context, using appropriate benchmarks; • Document the proposed improvements
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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
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Windows user interface program for enabling the use of NIST Mass Spectral Reference Libraries for compound identification -Maintain and extend user interfaces and data analysis algorithms for interpreting
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Eligibility criteria An advanced level in game theory and/or information economics is expected. Skills in algorithmics are a plus but not a requirement. Website for additional job details https://emploi.cnrs.fr
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la stabilité des algorithmes et à l'efficacité computationnelle. Une partie de la thèse sera également consacrée à des travaux expérimentaux visant à caractériser le comportement mécanique de systèmes
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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-edge academic insight with real-world robotics applications. The PhD project will focus on the design of advanced control and decision-making algorithms to enhance the intelligence, autonomy, and