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additional internal guidelines, procedures, or deadlines in place for this fellowship opportunity. The Canada Postdoctoral Research Award (CPRA) program recognizes and supports the next generation of
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methods for investigators with novel research projects. The incumbent is expected to keep abreast of techniques and developments in their area of expertise. Exceptional organizational skills, as well as a
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development of methods and technics to collect, treat, enhance and deploy plant propagules on disturbed boreal sites. The position will have two primary functions. The first will be focused on building
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks
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settings in diagnosing, 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
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environment allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling
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$60,000/year with potential for negotiation based on the qualifications and experience of the ideal candidate. Post-Doc Fellowship in Computational Oncology and Theranostic Vancouver, Canada The initial
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on the qualifications and experience of the ideal candidate. Post-Doc Fellowship in Computational Oncology and Theranostic Vancouver, Canada The initial appointment is for two years and will be extended based
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projects. The nature of the work demands planning the sequence of duties and work methods in consultation with the LOA Manager. The Archaeology Collections Research Assistant must exercise good judgement
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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