23 bayesian-inference-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions in Canada
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 14 hours ago
Python programming. Experience guiding trainees in bioinformatics skills. Advanced knowledge of phylogenomic analyses and the use of site-profile mixture models in a Bayesian and Maximum likelihood context
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meanings that are the result of predictable contextual inferences (implicatures). The focus is on empirical issues. Salary: $1766 (pro-rated salary, based on the co-teaching configuration) Position Summary
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networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
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, please see Degree equivalency Experience Candidates should have experience in the following areas: Experience with Bayesian modelling and inference. Experience characterising machine learning models in
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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(EPIB 507) Fall 2025 EPIB 507 Biostatistics for Health Sciences (3 credits) Fall 2025 Epidemiology and Biostatistics: Basic principles of statistical inference applicable to clinical, epidemiologic, and
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& Analysis Perform quality control, alignment, and quantification of bulk and single-nucleus RNA-seq datasets. Conduct differential expression, clustering, trajectory inference, cell type annotation, and
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epidemiology. Strong statistical background, including knowledge of Bayesian statistics and mathematical modeling techniques. Ability to code complex analyses in R, including data visualizations. Excellent
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. Effective oral and written communication skills. Ability to exercise tact, discretion, and judgment required. Strong analytical skills, including the ability to analyze numerical data, draw logical inferences