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Field
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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(e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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on the statistical aspects of the development, updates and validation of the randomisation system used by the Clinical Trials Research Unit, and provide training to colleagues and collaborators
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-dimensional data, survival and event history analysis, model selection and criticism, graphical modelling, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space
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updates to the project PI and funding agency on a regular basis; Publish the research findings on top-tier academic journals and local/international conferences; Assist with project management tasks Prepare
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 20 days ago
, and systems engineering. The advancement and application of techniques such as Systems-Theoretic Process Analysis (STPA), structured expert elicitation, and Bayesian Networks (BNs) are foreseen, and
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in Good Clinical Practice. REDCap, data collection and data entry experience also preferred. Special Instructions Application materials include an updated CV, a cover letter describing research
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) identify dynamic biogeochemical ocean regimes and their shifting spatial and temporal boundaries; (iv) optimise and update observational strategies for maximum scientific value within feasible and