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under the supervision of Dr. Hannah Garner to uncover the molecular mechanisms by which tumours with distinct genetic drivers reshape myelopoiesis. The project will also investigate whether tumour-driven
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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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degree in a relevant discipline. Preference will be given to those with experience in the areas of glycobiology and functional genetics. Skills: Ability to use MS Word, Excel, and PowerPoint effectively
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and contribute to funding applications. QUALIFICATIONS Successful applicants will have: A PhD in biology, genetics, or related field. Strong background in wet lab techniques, with an emphasis on cell
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Vancouver campus. Our teams are dedicated to developing innovative, localized gene-delivery and gene-editing platforms (including base and prime editing) to treat life-threatening genetic disorders
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/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python. They are also expected to write publications, liaise with collaborators