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Field
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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, biomedical engineering, computer science, or a closely related discipline. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with motion analysis, wearable sensors, or signal
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Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design and performance analysis, Proven track record
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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, design and build a LoRa network infrastructure suitable for agricultural environments. Select appropriate hardware and sensors for data collection. Configure and deploy LoRa gateways and end devices
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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data acquisition and analysis. Prior experience with quality-by-design principles, advanced sensor technologies, or continuous manufacturing techniques will be welcomed. An eagerness to identify key
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow