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Field
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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Biology, Deep Learning, Histology, Immunochemistry, In Vivo Imaging, Micro-Computed Tomography (Micro-CT), Mouse Handling Questions For frequently asked questions about the application process, please refer
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. The experiments in the lab will vary over time. They can be divided into three primary categories. First, using microscopy to image different parts of the plant depending on growing conditions. Second, harvesting
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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fluid management, thermal management, fluid management (liquids and gases), imaging systems, image processing module. - Design and production of parts by 3D printing - Management of subcontracting: supply
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Advanced Simulations of Zeolite Catalytic processes combined with coherent X-ray diffraction imaging methods.We are announcing a FAPESP postdoctoral position for the development of the project titled
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frameworks (e.g., PyTorch, TensorFlow) and medical image processing is essential. Candidates should demonstrate a track record of peer-reviewed publications in the field of AI for medical imaging. Preference
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making, and how internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding