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Field
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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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Institute, will lead the development and delivery of AI solutions across diverse industries. The role involves building end-to-end AI pipelines—from business problem scoping to deployment and monitoring
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park, in a dynamic ecosystem that brings together academics and companies of all sizes. The Signal team of the i3S Laboratory (https://i3s.univ-cotedazur.fr/signal ), aims to develop advanced, innovative
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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, modeling, and analysis for the SCHOLAR project. Develop and deploy the SCHOLAR dashboard, incorporating CHW feedback through multiple design iterations. Collaborate with CHWs and senior research personnel
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upgraded software algorithms into multiple DoD and IC systems. Technologies include near-real-time software and systems, signal processing, machine learning, and related applications. This position works
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will join the newly established Institute for Quantum and Information Sciences
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under