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about our proposed methodology. In this method, the images taken by each drone will be loaded into the pre-processing unit and then the pre-processed data will be used as the input of the deep learning
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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of data. In this role, you will develop: 1) 4D ultrasound imaging sequences using state-of-the-art ultrasound transducers, 2) AI models for ultrasound image processing and functional ultrasound imaging. Key
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developed through large programmes of research. You will aim to develop and validate a computational testing process, which can include patient variability for the biomechanical assessment of fusion devices
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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud
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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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modulating brain activity. Briefly, Focused Ultrasound has recently emerged as a ground-breaking new non-invasive, image-guided therapy to treat Essential Tremor (ET) and Parkinson’s Disease (PD). While it is