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mission, we are in the final stages of developing a prototype for generating daily evapotranspiration products. One of the two selected algorithms, STIC, will be integrated and tested under conditions
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores
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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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their personal and professional ambitions; Gender-friendly environment with multiple actions to attract, develop and retain women in science; 32 days’ paid annual leave for a full time internship, 11 public
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aims to develop a new generation of mobile robots capable of withstanding shocks, absorbing impacts, and recovering from collisions in complex, unstructured settings. The concept of resilience here
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) for the high-luminosity phase of the LHC, in particular on its mechanical design, on the generation of the L1 trigger primitives, and on the development of offline reconstruction algorithms. In addition, it is
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
follows a phased algorithm: 1) generate an initial training set by uniformly sampling input points 2) (re)train the model on the trainng set 3) use feedback from the model’s performance to generate/augment
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 2 months ago
”) for reference data generation. Research developed in EMPIR project 15SIB01 FreeFORM on reference software and the generation of reference data for validating min-max and least-squares fitting algorithms
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Computer Science and Experimental Music (SCRIME ). Main activities: This research position project is part of the general orientation of the SCRIME projects activity aimed at developing theoretical approaches
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strong background in scientific computing to contribute to various algorithmic patterns in an agile development environment. Within an Agile team set up: - You will contribute according to your expertise