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gynecological and obstetric imaging, strong analytical skills, and the ability to translate complex imaging data into actionable insights. This is a 100% non-clinical research position within a leading academic
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-trajectories ; https://www.olcf.ornl.gov/2019/08/29/ornl-va-collaboration-targets-veteran-suicide-epidemic/ . This position requires novel thinking, collaboration, and discovery in finding innovative approaches
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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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, including optical instrumentation, prototype device assembly, sensor characterisation, or microfluidics. Desirable: B1 A PhD in a relevant field (e.g. physics, engineering, applied photonics, or analytical
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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
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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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operation of high-resolution electron microscopy and spectroscopy facilities for studying materials exhibiting emergent quantum phenomena. The successful applicant will have completed a PhD in a field related
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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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» 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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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 27 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