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following neuroimaging methods and modalities: functional connectivity, representational similarity analysis, decoding techniques; structural connectivity, magnetic resonance spectroscopy; quantitative MRI
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disease. Another primary focus is the cross-modal integration of Alzheimerâ™s disease genomics with brain-imaging derived phenotypes to elucidate how genetics contributes to disease heterogeneity. Overall
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disparities in Alzheimer’s disease. Another primary focus is the cross-modal integration of Alzheimer’s disease genomics with brain-imaging derived phenotypes to elucidate how genetics contributes to disease
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differentiation of pluripotent stem cells into retinal cells and tissues. The work will specifically employ scalable culture modalities and bioreactors. This work will be undertaken in close collaboration with
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skills in multivariate statistics and the measurement of change Familiarity with one or more of the following neuroimaging methods and modalities: functional connectivity, representational similarity
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. Contribute to the integration and interpretation of complex, longitudinal, and multi-modal datasets. Document analyses and support scientific reporting, including manuscripts, reports, and grant deliverables
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Position Details Position Details Job Title Post-Doctoral Research Position Number 8350269 Work Modality Hybrid – 3 In-Person Is this request for the creation of a new Position (or the modification
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including