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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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degree in computer science, information technology, engineering, health informatics or a related field; Research expertise and strong background in one or more of the following areas: Computer programming
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microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and
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and assessment of current and proposed education programs. Collect, prepare, and analyze research data; maintain a computer database of research data; tabulate and display data for presentation in
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understanding of adaptive immune receptor (antibody and T-cell receptor) specificity using high-throughput experimental and computational immunology combined with machine learning. The long-term aim is to
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statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features. • Data Analysis: Analyse large-scale omics datasets, interpret
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relations, and broadcasting. Central has been a pioneer in extended learning for nearly 50 years, and its online programs for undergraduates and the military, as well as its online MBA and online graduate
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine
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processing. We have therefore taken the decision to prioritise processing complete applications. Applications that fail to include important documents or information, or that diverge substantially from our