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years, including the C-band European Space Agency (ESA) ERS-1/2 and ASCAT sensors beginning in 1991 to current, the Ku-band NASA‘s NSCAT QuikSCAT, SeaWinds, and ISS-RapidScat scatterometers, and the Ku
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of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
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: 27754 Frequency of calls: 14 International mobility required: no Website for additional job details https://www.tesaf.unipd.it/ Work Location(s) Number of offers available1Company/InstituteUniversità
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: 27754 Frequency of calls: 14 International mobility required: no Website for additional job details https://www.tesaf.unipd.it/ Work Location(s) Number of offers available1Company/InstituteUniversità
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sensing technologies for low-cost food sensors and food safety monitoring, and the design of materials that support cell growth and tissue development. Additionally, we encourage applicants in areas
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and optimize bio-inspired chemical sensors in response to analytes of interest in air. The research team will explore methods to interface with biological sensory system, obtain multiplexed electronic
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the holistic control concept of an HVDC grid-forming (GFM) multi-terminal hub. Development of a data-fusion approach to synthesize heterogenous data from different sensors and associated databases to form
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, high-impact research. Topic: Formation and Investigation of Conductive Tracks for Sensor Integration in Textiles Supervisor: Sandra Varnaitė-Žuravliova, Senior Researcher, Department of Textile
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning