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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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genomic (phylogenetic/lineage) data with epidemiological surveillance streams. • Apply and extend deep generative modelling approaches (e.g. normalising flows, variational inference) to handle large-scale
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data, including multi-level data (subject, tissue, single-cell) with or without spatial features. Analyse large-scale omics datasets, interpret results, and generate biological insights. Work closely
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excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and
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science, climate science, hydroclimate science, hydrology, environmental science, geography, data science, artificial intelligence, computer science, or another related discipline. Have strong research
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. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards
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and real-world projects. We are seeking an experienced Research Fellow (Data Science Manager) to lead analytics and AI initiatives with industry partners, and to drive the design, development, and
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instruments and test platforms. • Drive optimization of system performance for real-world deployment. 3. Data Analysis & Reporting • Manage the collection, preprocessing, and large-scale analysis
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and fund availability. Responsibilities Develop advanced statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new
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for the development of survey instruments and experimental designs, including sampling strategies, questionnaire development, piloting, and quality assurance Providing intellectual leadership in data analysis