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. The broader HTRICxUEF consortium provides additional expertise in the use of high-energy radiation, nanomedical drug release, and other types of medical imaging. Where to apply Website https
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programme, please visit https://cbl.curve.space/ Application procedure Are you interested in this vacancy? Please apply no later than 8 November 2026 via the application button and upload the following
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for single-particle analysis (SPA) and cryo-electron tomography (cryo-ET) On-the-fly and offline data processing, advanced image processing Structure determination and interpretation As a cryo-EM support, you
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the design and development of technological systems, including but not limited to aerial and aquatic imaging systems, cloud-based image processing pipelines, camera mounts, imagery analysis software, and field
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Location Remote, US Scheduled Hours 40 Position Summary The Anastasio Laboratory at Washington University in St. Louis seeks a Staff Scientist to advance wave-based tomographic image reconstruction
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control of the invasion process, modification of microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image
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Department: Diagnostic Radiology Location: Health Sciences Center Time Type: Full time Worker Type: Regular Term (Fixed Term) Job Req ID: R109345 Position Description: Diagnostic MSK Imager needed
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guidelines. The role requires expertise in hyperspectral imaging, chemometrics, and remote sensing data analysis, as well as proficiency in ENVI and specialized hyperspectral processing software. Where
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movements in mice. You will be expected to adapt this task to an induced end point error paradigm, and train healthy and mutant ATXN mice in this task, in order to examine how cerebellar-dependent adaptation
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 15 days ago
proximal optimization algorithms to solve it. Understand the principles of HM-CARS imaging and the challenges of data processing for muscle disease characterization. Explore the dataset and implement