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initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data to predict CVD risk and
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to identify, analyze the properties of core fragments, and compare them with those predicted by numerical simulations. With this project, the successful applicant will help to develop ‘big data’ capabilities
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values of Integrity, Excellence, Respect, and Creativity. This position is part of our Intelligent Cell Simulation System project, which focuses on developing artificial intelligence (AI)-driven models
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modelers, and policymakers working in a data-rich environment with many learning and development opportunities. This position is a great learning opportunity for Hepatitis C surveillance, policy development
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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: Experience working with adaptive optics systems (laboratory or on-sky). Experience with simulation tools used to model adaptive optics systems. E.g. HCIpy, OOPAO, OOMAO Experience with optical design tools
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including patient-derived pre-clinical models, tumour tissue biobank, tumour genome and transcriptome sequencing, and the development of clinical studies. As a multidisciplinary centre, Pancreas Centre BC
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electronic or vibrational strong coupling. The Postdoctoral Fellow is expected to conduct cutting-edge research in the design, fabrication, modeling and characterization of the plasmonic quantum sensors