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theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
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, personal and parental leave, Employee Assistance Program, Medical Hub on Campus, Novated Car Leasing, 25% discount on some short courses, personal software discounts, among others About the position The VE
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of Computer Science at McGill University (Montreal, Canada) invites applications for tenure-track appointments at the rank of Assistant Professor. We are seeking candidates with a PhD (or close to finishing) and
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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initiatives. OR Doctoral degree in a quantitative discipline with demonstrated expertise in statistical modeling, machine learning, data science, research methodology, or related analytical fields. Required
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria Have, or be about to obtain, a PhD or equivalent qualification in atmospheric science, or a very closely
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. You should demonstrate: Essential Criteria: PhD in computer science or a closely related field, in formal verification, software testing, programming languages, or AI agents Strong programming skills in
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We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Possess, or be about to obtain, a PhD in a relevant STEM
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obtain, a PhD in behavioural, implementation science or other related health fields Experience of intervention development and/or implementation science research Experience of qualitative research