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research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
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by experience level at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales
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properties and great promise for various applications, including energy storage, supercapacitors, gas sensors and photovoltaics. The goal of the PhD program is to perform systematic experimental and
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ventilation systems, active air treatment technologies (e.g. particulate filters, UV disinfection) and sensor networks to monitor and respond to air quality in real time. However, there’s a critical need to
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methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometer, drone with hyperspectral sensor, and satellite imagery) that can be a
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training and/or experience in the processing and characterization of thin films and sensors. Supporting documents for these requirements must be submitted by the time of the fellowship contract's
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information about Dr. Dzakovich’s research please visit: https://www.bcm.edu/research/faculty-labs/michael-dzakovich-lab Job Duties Constructs and validates intrinsic labeling systems for a variety of food
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to develop and validate a low-cost multiparametric probe for real-time direct water analysis. Where to apply Website https://oficinavirtual.uca.es/oficinaVirtual/EntradaOficinaVirtual?procedimient
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the already developed sensor network (visitor density). • Creation of multi-objective recommendation mechanisms, balancing individual satisfaction and mitigation of tourist overload. • Automatic generation