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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
? Comprehensive Postdoctoral Training: This collaborative project presents an outstanding platform for comprehensive training in an array of advanced methodologies such a next-generation sequencing, droplet digital
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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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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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CIHR-funded research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and
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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
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 months ago
-throughput imaging data and sequencing datasets (DNA/RNA). Expertise in fluorescence microscopy techniques. Outstanding written and verbal communication skills (in English), with the ability to effectively
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function. Supervision Given None but may explain work sequences to others. Minimum Qualifications High school graduation and a minimum one year of related experience or an equivalent combination of education
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. ---------------------------------------------------------------------------- The Physics of Information and AI Lab led by Achim Kempf at the University of Waterloo, with generous funding from the Dieter Schwarz Foundation, is seeking exceptional junior scientists for multiple research
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between prefrontal neurons and other brain regions, including the noradrenergic and dopaminergic systems. This project aligns with our lab’s focus on the influence of neuromodulatory systems on learning
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by