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biomolecular studies, image analysis, and quantification. The RA will work under the direct mentorship of senior graduate researchers to master specialized laboratory techniques. The RA will report directly to
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Description The National University of Singapore invites applications for a Research Assistant (RA) position in the Computational Brain Imaging Group (CBIG), at Yong Loo Lin School of Medicine. More information
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associates • Troubleshoot and fix minor equipment problems • Collaborate with other departmental researchers in the interpretation of images obtained from the microscopes, and contribute in the writing
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the ethics and deontology of research and development activity Other skills: knowledge and use of PC operating systems: Windows operation, MS Office (Excel, Word for Windows, Power Point) image processing
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graduate student and postdoc needs Postdoctoral Scholar Engagement Develop and implement initiatives to support community-building and professional growth among postdoctoral scholars Create opportunities
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documents, electronic health records, imaging reports, or study forms. Applies foundational clinical and medical terminology knowledge when interpreting and entering data. Conducts basic data quality checks
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may also include helping prepare equipment and supplies for field work, analyzing trail camera images, and processing field samples in the lab. Job Duties: 80%: The role also involves accurate and
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preferred Familiarity with behavioral neuroscience assays, especially pain-related behavioral testing preferred Prior experience with immunohistochemical, molecular, or imaging-based analyses preferred
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demonstration of centrifuge technology. The successful candidate will participate in research and development (R&D) activities that strategically advance science and technology focused on gas testing of prototype
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laboratory experiments, prototype development, digital modelling, field deployment, and performance monitoring of full‑scale demonstrators across pilot sites in Dubai, UAE. Key Responsibilities The successful