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bioinformatics support, and training and networking supports through our leading role in the Canadian Islet Research and Training Network (www.islets.ca ). Duties Specific duties will depend on the project focus
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Training PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Demonstrated commitment to ongoing
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teaching activities. You hold a PhD in microbiology/microbial ecology or similar, and you have experience in bioinformatic methods for analyzing environmental sequencing data (metagenomes, amplicons, long
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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epigenome of carrier cells. For more information, please check the Khoshkhoo Lab (http://www.khoshkhoolab.com ) and Huang Lab (https://www.augusthuanglab.org ) websites. Candidate qualifications include: PhD
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(where possible) in BioModels and other repositories Generation of synthetic data to represent rare disease patients that can be shared You have A PhD in bioinformatics, physics, or a related data
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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found online: https://www.jglab.org/ and www.github.com/goekelab Requirements: PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline Good programming skills and strong
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our