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Postdoctoral Researcher to advance scientific data reduction and compression workflows for tomography and imaging applications in collaboration with European research infrastructures. The Position The rapid
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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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be to: conduct advanced research into supersonic combustion and compressible reacting flows, particularly investigating how compressibility suppresses fuel-air mixing contribute to research seeking
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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printing experience in MRI image reconstruction (nonuniform FFT, compressive sensing, etc.) a good publication track record experience in supervising students. Your benefits You will have access
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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tag and system architecture, including: power harvesting and management; data collection approach; LTE antenna integration in an extremely small footprint; message format and data compression
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will be part of a research team working on the development of a prototype of liquid piston for isothermal compression/expansion. Villanova is a Catholic university sponsored by the Augustinian Order. The