64 digital-biosignal-processing Fellowship positions at University of British Columbia
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the next three years. Research Focus This interdisciplinary project will address how the immune system, particularly the T-cell compartment, develops and deteriorates with age, and how these processes can be
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-cell compartment, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches
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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All
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Do you have a technology-driven solution to a compelling and unmet need in digital health or life sciences? If you need a boost to launch your solution to market, this fellowship may be for you
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate. APPLICATION PROCEDURE An application package should include: Cover letter describing (a
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develops mitigation strategies or resolutions. Maintains study documentation, including tracking and monitoring changes (adaptations) to strategies throughout the implementation process. Completes data
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documentation, including tracking and monitoring changes (adaptations) to strategies throughout the implementation process. Completes data analysis to quantify and compare safety risks and effectiveness between