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to interpret remote-sensing observations of icy moons. You will join an interdisciplinary and international team that integrates laboratory astrochemistry, spectroscopy, quantum chemistry, radiative-transfer
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of hire. The required degree must be in the fields of agricultural science, machine learning, remote sensing of environment, ecosystem analysis, micrometeorology, quantitative modeling, or relevant fields
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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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Engineering, Communications Engineering, Computer Science, or a related field, with a focus on wireless communications, signal processing, radar/remote sensing or space systems Several years of relevant
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learning models, which find application in image-based science, including in collaboration with domain scientists on and off campus in fields like remote sensing, microscopy of cell colonies, plant sciences
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research on high speed electronic components, circuits, and systems for a wide range of communication, industrial, and remote sensing applications in the frequency range from 1 GHz to 500 GHz and beyond. Our
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 1 month ago
developing prototypes of enzymatic chemical biosensors, contributing to the creation of metasurfaces operating in the microwave range for remote sensing applications. Given the characteristics of the position