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environment that will allow realistic simulations of multiple full-stack aerial and ground robots including 3-D geometry, physics and sensor data. The job requires basic understanding of robot control
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ingredients for protein molecular recognition events, obtain atomic-level control of the protein/small-molecule interface, and set the stage for the development of proteins that could serve as novel sensors
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head-mounted displays (HMDs) with wearable and peripheral devices, including eye tracking, motion capture, physiological sensors, and neural interfaces. Implement precise time synchronization, triggering
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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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-based platforms. Work with sensor data (e.g., vehicle telemetry, imaging, environmental data) for analysis, visualization, and decision making Assist with the design of custom electronic control systems
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and foreign funds annually, the goals of which are to increase the innovation of the Polish economy. Job Responsibilities: Designing
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sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker
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Number req25035 Department Environmental Science-Res Department Website Link https://envs.arizona.edu/ Location Yuma Address Yuma, AZ USA Position Highlights The Department of Environmental Science is