152 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"University-of-Amsterdam" positions
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Field
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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
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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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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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, 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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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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collected as part of the clinical trial. Develop and implement analysis algorithms for collected data. 7. Dissemination: Help the research team to develop reports of study results. Required Knowledge, Skills
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: Organize and compile data collected as part of the clinical trial. Develop and implement analysis algorithms for collected data. 7. Dissemination: Help the research team to develop reports of study results
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant