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have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
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that preserves reliability and resilience; (3) quantify economic viability and equitable pricing models for energy and ancillary services provided by cVPPs; and (4) train interdisciplinary researchers to support
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing
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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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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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will be accepted until 11:59 PM on the Posting End Date. Job End Date May 31, 2027 The expected salary for this position is $60,000 per annum, though is negotiable based on experience. The Faculty
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for this position is $60,000 per annum, though is negotiable based on experience. The Faculty of Medicine is committed to offering equitable and competitive salaries, commensurate with the qualifications and
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Global Child Health, Epidemiology and/or Digital Health. The Trainee will conduct research in global health initiatives utilizing risk-based differentiated care to prevent pediatric mortality and morbidity
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
conducted doctoral research within the area of climate change modelling, GIS-based risk assessment, visualization, etc. The ideal candidate should also have several of the following characteristics: ▪ Strong