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Language Processing, stream analytics, IoT infrastructures, and agricultural robotics can be combined to create human-in-the-loop conversational interfaces for smart agriculture. The goal is to allow farmers
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information processing into an established consortium of experimental physicists and cancer biologists. The project establishes a close collaboration between IEMN and PhLAM, with the support of CANTHER
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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become part of a laboratory that covers a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed
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computer, virtual data storage, and access to software tools for specialized data analysis (e.g., Cryo-EM data, crystallography, etc.). Structural microbiology: Exopolysaccharide secretion and host
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certain industrial processes. CST systems produce heat by concentrating solar radiation onto a receiver using a field of mirrors. This heat, removed by a Heat Transfer Fluid (HTF), can either be used
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investigates behavioural and cognitive processes involved in major mental functions (perception, attention, memory, language and temporality). It explores the neural basis of these functions, as
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contain extensive information about pipeline conditions, observed defects, hydraulic characteristics, and network operating conditions. A matching process with asset management and mapping data will make it
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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the dual supervision of the CNRS and the University of Limoges. It is attached to the Institute of Chemistry (INC) and all the work carried out aims at understanding and mastering the production processes