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Field
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algorithms, like multi-camera approaches or sensor fusion. You will implement currently available methods in this area, evaluate their performance and systematically study their dependability. Onsite
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. The project will include the exploration of alternative materials to support conformal channels, the integration of sensor systems into the molds, and the development of predictive models and artificial
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domains for applications to the mining industry and beyond. We have an opportunity for a passionate and skilled research scientist to design and develop cutting-edge algorithms and fused sensor systems
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sensor data) mentioned. * Experience with multi-omics data analysis (e.g., genomics, transcriptomics, proteomics). * Familiarity with neuroimaging data analysis tools (e.g., FSL, SPM, or FreeSurfer
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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. clinical data, imaging data, genomic and omics data, device and sensor data) mentioned. ● Experience with multi-omics data analysis (e.g., genomics, transcriptomics, proteomics). ● Familiarity with
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novel ideas on searches for dark matter and other physics beyond the Standard Model with quantum sensors, including development of quantum algorithms for atomic clocks and other quantum sensors
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in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation
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development on undersea sensor systems employed on Naval Special Warfare platforms. Responsibilities Communicate and collaborate with team members to design and develop new software features and maintain
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and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider