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on modeling aerosol-cloud-radiation interactions using high-resolution simulations (ICON-LEM) within the BeyondCloudlab project. Our research group studies the role of clouds and aerosols in the climate system
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Computing Center. A complete overview of the department is available at http://radiology.uchicago.edu/ . Prior to the start of employment, qualified applicants must have: 1) a Ph.D. in Electrical Engineering
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About the PositionsWe have fantastic opportunities for PhD applications and scholarships. Our group uses a combination of state-of-the-art genetic, microscopy, engineering/screening techniques, and
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Computer Science, Data Science, Civil Engineering or a related field Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a
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high-calibre individual to join the School of Engineering, which boasts world-leading expertise, research and education in Engineering. The Research Assistant / Associate will work on the EPSRC funded
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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
), on the development of in-situ nano-computed tomography (nano-CT). The expected start date is May 2025, and the position will be hosted within the 3D Imaging Center ( 3DIM ). The position aims to develop
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
, microwave millimeter engineering, remote sensing, and object imaging are based on electromagnetics’ dynamic field.EMBEDDED SYSTEMSThis research area is focused on computing systems in all aspects and
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. Minimum Qualifications: Ph.D. or equivalent terminal degree, or foreign degree equivalent, from an accredited institution in Chemistry, Physics or Engineering. A minimum of two (2) years postdoctoral
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type