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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and
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: Radio Frequency Identification (RFID) technology, both chip and chipless, along with the integration of stand-alone or integrated sensors, provides a physical platform for the implementation
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microorganisms and their cell-free transcription/translation systems Learning plasmid design and purification Developing skills in the optimization of sensor components and sensor function Participating in multi
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, mixing and placing materials on instruments as requested by providers. Exposes and scan radiographs by using intraoral digital sensor. Maintains dental supply inventory in the clinic area by checking stock
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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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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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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