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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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mission. Eligibility and Requirements We’re seeking pragmatic and applied scholars who are eager to produce research that informs real-world action, not just theory. Applicants must have: A recent PhD
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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nanoparticles, and iii) the behaviour of fluorescent nanostructures at the nanoscale. Qualifications The following qualifications and skills are required: PhD in Physical Materials Chemistry or equivalent