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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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microscopy experiments, analyzing and presenting data locally and internationally, writing manuscripts, and occasionally mentoring junior lab members. Education / Experience Education: - Must hold a PhD
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instrumentation Collaborate with the clinical team to develop protocols for biospecimen sample timing, collection, and processing to support clinical study design Review analytical data and prepare protocols
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
or intervention research. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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study design Review analytical data and prepare protocols, reports, and scientific publications Learn and apply pharmacokinetic/pharmacodynamic (PK/PD) analysis techniques to interpret drug assay data
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
or intervention research. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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, acousto-optic deflectors), free-space and integrated optics, optomechanical systems. Solid background and analytical skills in experimental quantum physics, as needed to efficiently collect and analyze data