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prostate, bladder and kidney cancer). The program will draw on expertise in probabilistic modeling and causal machine learning, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour
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(IoT) Computer networks Computer Architecture Computer Science for Accounting & Finance Computer Science for Marketing Parallel Computing (including Algorithms) Computational Intelligence (Evolutionary
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graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors