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Field
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/ Deep Learning Knowledge of: Active learning, Bayesian optimization Reinforcement learning or decision-making systems Experience with: Python ecosystem (PyTorch, Scikit-learn) Data pipelines and
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, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic predictions must then be integrated into a map representation to be included and used in the path planning
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embodies a broad range of research interests in the areas of applied and pure mathematics, and statistics. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics
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information ● Experience with statistical methods including multivariate statistics, Bayesian statistics and linear/non-linear mixed-effects models ● Proficiency in the programming languages R
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learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working across the School
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
, implementation science, geospatial analysis, biostatistics and research design, analysis of interventions (e.g., difference-in-differences), AI analytics, agent-based modeling, Bayesian modeling, causal inference
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. This should include expertise in linear-mixed and structural-equation frameworks. Expertise beyond those domains is very welcome, including Bayesian and machine-learning. Preference will be for individuals who
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of multi-modal healthcare record data. The ideal candidate will additionally have experience: Multi-modal AI model development Statistical modelling techniques (Bayesian inference, differential equations and
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multivariate statistics, dimensionality reduction, and latent variable modeling. Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly
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Gaussian processes with learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working