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Experience with clinical trialsExperience with data analysis Experience with RedCAPExperience with large-scale data, such as genomics and transcriptomics dataProgramming experience, preferably in Python or RA
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 16 hours ago
skills applicable to geometry handling, variance reduction, data analysis, and radiation physics. Your main work tasks will be Radiation safety simulations for beamlines and accelerators. Design of
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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various diseases, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large-scale biological datasets derived from both the host and the
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opportunity to: Gain important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens Learn and apply a
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consequences of economic insecurity (EI) for individual's lives and society at large, and the understanding of the role that public policies play in mitigating or amplifying the size of these impacts - this is
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular