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, computer science and statistics to support state-of-the-art ocean observation, prediction and knowledge mobilization ● a capacity to lead projects with interdisciplinary collaborators and an ability to complete
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deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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(provided by the group performing experiments) to improve the existing combustion models for unsteady CFD simulations of the burner operating with hydrogen, methane, and their blends for the prediction
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across disciplines that span the spectrum of the physical, social, and integrated sciences is needed to understand, better predict, plan for, and manage the Earth System and its interactions in a changing
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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Africa, with rigorous evaluation. We are looking for trainees with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with
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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and