354 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University"-"Prof" positions in France
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- inserm 1105
- École Normale Supéireure
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Field
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next
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for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
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repeater based quantum internet. To this end, our overall goal is to develop quantum nanophotonic chips, in which colour centres are used for interference exepriments to mediate entanglement between distant
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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. Indeed, when multiple sources exist in the vicinity of a same sensing unit, their signatures mix and estimation of individual sources is disturbed by the other co-occurring sources. The aim of the doctoral
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obligations [3]. The tool Verdir ma Flotte (VMF, https://verdirmaflotte.fr/ ), developed by IFPEN with the support of ADEME [4], serves as a decision-support and educational platform. It enables users
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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
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biodiversity. 2. Develop a conceptual and/or methodological framework, grounded in existing literature, to empirically test the impact of species (or groups of species) on ecosystem functioning. 3. Test the
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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases