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offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary
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., undergraduate, graduate, postgraduate students). Participate in grant applications, including concept development, analysis of preliminary data, preparing background information, and writing grant sections. Apply
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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social media analysis to support research projects, including hypothesis generation, behavioral evaluation, data collection, cleaning, preprocessing, and analysis; Analyze multimedia-rich content within
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or related approaches, together with advanced analysis of molecular simulation data, including dimensionality reduction, conformational landscape analysis and the identification of metastable states
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are particularly encouraged to apply. Strong experimental background in immunology research Good written and oral communication skills Proficiency in: High-dimensional flow cytometry and data analysis Mouse
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of low birth weight. The successful candidate will support the delivery of impactful health service research through stakeholder engagement, research coordination, data analysis, knowledge translation and
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and analysis of soil and vegetation characteristics Participate in drone surveys and process and analyze 3D data Collect and analyze dust samples (MWAC samplers) Maintain automated erosion and
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, including models customized for fungal genomes. Training will include crop and fungal RNA-seq analysis; integration of multi-omic and phenotypic data; protein-interaction and structure-based analyses; and
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analysis of experimental data; knowledge in research work in the field of experimental biology, demonstrating familiarity with the use of in vitro models (namely primary cultures of neurons and/or astrocytes