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to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical to transforming the quality
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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, triaging and discharging children with serious infections, and other co-morbidities. The exciting next stage of this program will be to expand to multiple countries in East and West Africa, with rigorous
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. HELIX is designed to measure cosmic ray isotopes at high energies with unprecedented precision. HELIX aims to cover a wide energy range using multiple flights with different detector configurations
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 5 days ago
to apply these methods in multidisciplinary projects bridging computational design and experimental validation in the wet lab. What We Offer: An interdisciplinary environment with expertise and close
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The Naveen Jindal Young Global Research Fellowship Programme is a prestigious, fully funded initiative that offers a unique one-year experience, comprising an eleven-month online component and a one
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requires a high level of judgment, scientific initiative, and technical skill in geospatial data processing, as well as the ability to manage multiple deadlines and prioritize tasks. The successful candidate
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are required to indicate how they will account for sex (biological factor) and gender (socio-cultural factor) in the research design, methods, analysis and interpretation, and dissemination of findings. For more
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value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data