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Primary Purpose: Establishing, generating and measuring data for understanding root systems for plant breeding programs in several screening systems. They will have proven experience both in the lab
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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for the Salish Sea. Project personnel use state of the art data science and statistical approaches in the context of emerging frameworks for detecting and attributing biodiversity change. Sentinels postdoctoral
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in communities, research design, and policy in this urgent time of environmental change. More information on the larger project can be found here . The candidate will work under the supervision of Dr
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PDF containing: Cover letter (2 pages max) describing your research interests and fit for the role Curriculum vitae including publication list Names and contact information for 3 references Review
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probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape-constrained inference, time
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their publication record and research statement. Preferred skills will include data science methods such as high performance computation, data management skills, and programming in R. Individuals also must be within
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 16 hours ago
innovation. Information on the NRC research centres and their research interests is available here: Research centres - National Research Council Canada The chosen candidate would be someone who shares our core
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to apply: To apply, please send your cover letter and curriculum vitae, and contact information for three references to Dr. Thiviya Selvanathan (Thiviya.selvanathan@cw.bc.ca) and cc Isha Sekhon (isha.sekhon
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investigative teams and collaborators to develop and conduct exposure assessment and statistical data system and analyses Leading and organizing internal research project team meetings (agendas, decisions, action