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Field
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The emergence of new optical technologies combined with molecular sensors and advanced computational tools has led to significant advances in understanding how the circuitry and dynamics of neuronal populations
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in process and systems development related to laser-based metal AM Familiarity with process sensors for laser-based AM methods Familiarity with design for AM and post-processing techniques Innovative
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-effective optical sensors called D-Egg, which is one of the main detector systems for the ongoing IceCube upgrade. Based on the experience gained from the development of the newly designed optical modules and
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. Job Duties Job Duty Conducting research related to the development and deployment of the in situ radionuclide sensor, Essential Function Yes Percentage of Time 35 Job Duty Publishing original research
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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain
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its neighborhood, analyze their behavior, and probabilistically predict future motions/behaviors. As part of this work, the successful applicant will work on sensor data processing and data fusion
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence