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Field
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, local controllers Candidates with a background in control systems, power systems, signal processing, or machine learning of cyber-physical systems are encouraged to apply. Funding category: Contrat
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between nonlinear matter waves and quantum information processing. The recent observation of dense collisional soliton complexes in two-component BECs [4] and advances in optimal control of nonlinear
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Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety - Data Science
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thermophysical-property measurements or well-controlled elaboration process. Previous developments and open questions. A setup combining electromagnetic levitation with a horizontally directed DC magnetic field
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
institutes, with the student spending substantial time at each site to leverage their complementary experimental platforms and expertise. The PhD candidate will focus on developing novel control and modeling
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Eligibility criteria - Education: Ph.D. degree in Robotics, Control, Optimization, Machine Learning, Computer Vision for Robotics, or related fields. - Technical Expertise: Strong background in optimization
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LevelMaster Degree or equivalent Skills/Qualifications Computer skills are required, primarily advanced proficiency in Python and version control tools (GIT). Knowledge of working with satellite images (GeoTIFF
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the functional links between transcription factor condensate formation and autophagy, and the involvement of these processes in the temporal interpretation of auxin information and the control of organogenesis
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of Python and R; Knowledge of web development (Shiny or equivalent technologies); Experience processing and analysing large datasets; Experience with version-control tools (Git); Data visualisation skills
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Controlling and manipulating quantum information using advanced nanoelectronic technologies represents a major challenge currently undertaken by CEA-LETI and its partners. A key objective of this