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(reviewing applications posted 2025/01/08, listed until 2025/06/12) Position Description: Apply Position Description The International Center for Hadron Astrophysics (ICEHAP) at Chiba University, Japan
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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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
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
from multiple methods and developing cross-sensor capabilities (e.g., combining SAR and hyperspectral) will be essential for deriving meaningful insights for biodiversity and ecological conservation
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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
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nanomaterials to novel cellulose-based textiles. Key responsibilities Conduct a comprehensive sustainability background analysis of different material options for optically adaptive textiles including sensors and
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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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the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications
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research section comprised of over 50 members dedicated to advancing micro- and nanotechnology-based sensors, detection systems, and drug-delivery devices. If you are a highly motivated individual with
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to enable microbial species detection and recognition in situ, using a sensor system that will eventually be deployed in agricultural fields for soil monitoring in space and time. Work duties The main duties