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experiments such as tissue culture, CRISPR/Cas9 gene editing, chromatin and nucleic acid extractions, preparation of next generation sequencing libraries for e.g. ChIP-seq, RNA-seq, and bisulfite-seq
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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management, and dissemination of scientific outputs. The postdoc will gain experience leading data-centric experiments and contributing to high-impact deliverables in an industry-aligned environment
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a multi-disciplinary team including graduate students, technicians, and clinicians from multiple fields. Key Responsibilities Develop and apply computational pipelines to integrate and analyze
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programming languages for data analysis) Previous experience in processing and analyzing NGS data, genome annotation or in developing sequence analysis pipelines Previous experience in analyzing single cell and
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, epidemiologists, etc.) to identify and discuss the role and likely importance of the multiple sources of measurement error that will affect ZIKV-IPD-MA-2S analysis. Use simulated datasets in concert with feedback
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, including the job posting number their resume a summary of their PhD dissertation (1 page) a research proposal (2-3 pages) with explicit mention of: research steps and timeline alignment with Activator’s
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: The RA will perform experiments to support multiple projects in the lab. The type of work will include, but is not limited to, animal behaviour, biochemical analyses, molecular and cell biology experiments
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tools Contributing to leadership training materials and mentoring junior trainees Supporting courses, stakeholder convenings, and public engagement Pursuing independent publications and funding aligned
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Physics of Information and AI Lab: multiple positions in Waterloo, Canada The Physics of Information and AI Lab led by Achim Kempf at the University of Waterloo, with generous funding from