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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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24 Jun 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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23 Jun 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile Recognised Researcher (R2) Application Deadline
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required to scale massive biomedical imaging models efficiently over distributed GPU environments. Key Responsibilities Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation
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Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models
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image reconstruction, and quantitative analysis workflows. Collaborate within a European research consortium and engage with international and national partners across multiple institutions. Drive
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
. Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative analysis workflows. Collaborate within a European research consortium and
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. • Validate system performance in real-world scenarios, including depth-resolved imaging and full-color reconstruction. 4. Explore Advanced Functionalities The ICube Laboratory (UMR 7357) is a joint research
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, is a materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A
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, machine learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in