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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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single-element SNSPDs as well as kilopixel-scale imaging arrays which have high efficiency in the 2 – 16 µm wavelength range for applications in single-photon spectroscopy. The imaging arrays will be
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
animal and human cellular models Single-cell profiling Advanced image processing and analysis Rodent behavior testing facilities In addition, numerous institutional shared resources and core facilities
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contribution to the further establishment and operation of the INW Long-Term Characterization X-Ray Laboratory Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical
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provide quality assurance for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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for H-1B visa sponsorship. Qualifications *Required qualifications include: -PhD in Biomedical Sciences, Biomedical Engineering, or a closely related field. -Demonstrated expertise in thermal modulation
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Number: JR90626 Position Summary Postdoctoral Research Associate in Molecular Imaging and Therapy A postdoctoral research position is available at Mallinckrodt Institute of Radiology (MIR), Precision
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Radboud University Medical Center (Radboudumc); 10 Oct ’25 published | Netherlands | about 1 month ago
Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided