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interpretable autonomous experimentation systems remains a major research challenge. The successful candidate will develop reinforcement-learning and decision-making algorithms for autonomous laboratory platforms
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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responsible for leading a project studying the etiology of rare and untreatable tumour types associated with DICER1-related tumor predisposition (DRTP) using the unique genetically engineered mouse models we
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generating unbiased, systematic data can give new and unexpected insights into biology. That has been at the core of our work ranging from genome-scale RNAi screens to systematic mapping of genetic
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow - Bioinformatics Department Capon Laboratory | Department of Medical Genetics | Faculty of Medicine (Francesca
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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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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools
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experience in root phenotyping systems and experiments is desired. Experience: The ideal candidate has a good knowledge of plant root systems, methods for phenotyping root systems, and plant genetic analyses
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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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