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at the following websites: NTU : www.ntu.edu.sg ADM : www.ntu.edu.sg/adm Application Procedure : Please login to the following webpage to submit your application : https://ntu.wd3.myworkdayjobs.com/Careers
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& Biomedicine Science (LABS) at the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID) at the Radiology Department at Columbia University has multiple open postdoctoral positions
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» Cancer research Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 27 Apr 2026 - 13:42 (Europe/Helsinki) Country Lithuania Type of Contract Permanent Job Status Full
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7 Apr 2026 Job Information Organisation/Company VIB Research Field Biological sciences Computer science Researcher Profile Leading Researcher (R4) Positions Other Positions Application Deadline 31
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diagnostic imaging physicist, and 1 nuclear medicine physicist/RSO. This position will provide clinical service to the Network Department of Radiation Oncology. The UVM Medical Center (UVMMC), the network hub
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Position overview Position title: Assistant Project Scientist Salary range: A reasonable salary range estimate for this position is $97,000 - $121,800. The posted UC academic salary scales (https
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 22 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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the management and operation of a state-of-the-art aberration-corrected Nion HERMES 200 scanning transmission electron microscope (STEM) optimized for both atomic level imaging and high energy and momentum
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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time