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Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of creating robust radio frequency
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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, security and compliance. Department Specific Qualifications Education: PhD or MD degree PhD in Chemistry, Biomedical Engineering, Materials Science or related field with emphasis in Cancer Biology or Drug
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Qualifications • PhD in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field. • Experience in robotics design, mechatronics, electromechanical systems
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engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow measurement techniques and PIV. Familiarity with optics, lasers, image
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highly motivated and talented Postdoctoral Researcherto work full-time in the field of medical physics and engineering, particularly on low field magnetic resonance imaging (MRI). The position is within
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engineered models. • Small-animal surgery, colonoscopy/endoscopy, or in vivo imaging. • Tumor–immune cell co-culture systems. • qRT-PCR, Western blotting, immunofluorescence, immunohistochemistry, or related
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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(there is room for learning-on-the-job). A PhD in aerospace/mechanical engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow