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Number: 6268974 University of California Irvine Postdoctoral in Magnetic Resonance Imaging Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034 for Exempt and $31.97
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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analysis technology3D high-throughput imaging or patient biosample processing Ability to work in a multidisciplinary and international team of scientists with excellent written and oral communication skills
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of expertise, ISSS aims to offer the full portfolio of expertise in the fields of signal and image processing, novel manufacturing technologies, microsystems, microwave engineering, mobile communications systems
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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THIS POSITION is based at the SoftiMAX beamline, part of the Imaging group at MAX IV, which encompasses 12-15 people (post-docs, engineers, scientists). Their main task is to aid research and
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formation and changes occurring during processing and digestion. The starting date is November 1, 2025, or as soon as possible hereafter. The research project This post-doctoral position is part of the EU
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formation and changes occurring during processing and digestion. The starting date is November 1, 2025, or as soon as possible hereafter. The research project This post-doctoral position is part of the EU
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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is 7/1/24. Qualifications Completed PhD or a foreign equivalent. The current project seeks to revolutionize the entire process from data to prediction with a paramount focus on reproducibility and