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Field
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
, engineering or a closely related science. • Strong interest in experimental imaging techniques is desirable, knowledge in neutron and/or X-ray imaging and diffraction as well as programming would be
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related field. Solid background in digital IC
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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spray behavior and mixing. Combustion stability and efficiency limits. Duties of the position Follow the faculty’s PhD program. Conducting experimental campaigns on optical and engine setups. Develop and
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: civil engineering, transport engineering, computer science, intelligent transport systems, and transport, with an affinity for health, or biomedical engineering or related health degree and an affinity
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Immunology, Genetics and Pathology at Uppsala
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning