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Field
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test
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of methods for optoacoustic data analysis. The Mission: The successful candidate will play a key role in advancing the development of the world’s first portable mid infrared optoacoustic sensor (MiROS) for non
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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integrated and functional transmembrane organic ion transporters. Develop a protein-based sensor for intracellular toxin detection. Integrate synthetic cells on dialysis membranes and set the first steps