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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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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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contribute to the collaborative TQT research community. Principal Investigator: David G. Cory Project: Quantum dynamics of cavity interactions with spin ensembles The project involves both theory and
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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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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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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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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
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
+RL) would be beneficial. Based on ocean sensor networks’ inputs, the developed DSSs will support the monitoring, prediction, environmental impacts and technical engineering management of ocean industry