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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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methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Brain Health Lab - Paediatrics) Posting Start Date: 07/05/2025 Job Description: Job Description The National University
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health and care research on issues which matter to people with lived experience, community and primary care services. CPCRG has strong links across the University, as well as with University of Exeter
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medical test evaluation or screening. Experience of synthesising quantitative data across studies is required. The TAP group is internationally renowned for its expertise in evaluating medical tests
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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other postdocs, two PhDs, a research advisor, a data management expertand a research assistant. The project will explore and test the hypothesis that deep narrative structures in the datasets used
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 16 minutes ago
Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2902P Department/Unit Community Health & Epidemiology Location Halifax, Nova Scotia, Canada Job Summary
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substantial element of spoken discourse analysis. You will also demonstrable competence at transcription using Jeffersonian conventions, sensitivity around working with data of this nature, and excellent spoken
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methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in