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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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candidate would work within a dynamic and vibrant lab with a proven track record of outstanding achievements and contributions in translational biomedical research. This position allows the candidate
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contributions while at UBC. Nominations for the Killam PDF Prize are made to the Dean's Office of their appointing faculty, and faculties submit their nominations to the PDFO. Eligibility, procedures and
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, demonstrated research ability, and strong communication skills. The successful candidate will conduct original research on core problems in biodiversity, foster interactions within the Centre, run a seminar
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Columbia. The fellow will work with a diverse set of real-world datasets—including two-way patient–provider texting collected via the WelTel platform and electronic medical record (EMR) data—from clinical
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Department: Physics (Faculty of Science) Position supervisor: Professor Raffi Karshafian Contract length: Two years Hours of work per week: 36.25 Position type: Term Vacancy Start Date: ASAP Rate of
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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, jointly supervised by Dr. Peter Zandstra and Dr. Fabio Rossi, focused on advancing our understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to
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salary of up to SGD$80,000 Relocation allowance and generous housing grant for entire duration of Fellowship Opportunity to work alongside leaders in science and engineering in the areas of artificial