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social, cultural, and sports clubs. About the Role The Centre for Democratic Resilience is seeking a Postdoctoral Research Fellow in Computational Social Science and Text Analysis to contribute to its
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Postdoctoral Research Fellow in Computational Social Science and Text Analysis to contribute to its Higher Education and Democratic Resilience Programme. The programme examines threats to academic freedom
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multidisciplinary investigators, and establish an independent research direction. As a successful candidate you will: Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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experiments. Experience in biometric sensing or acoustic signal analysis would be an advantage. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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such as network analysis in 3D genome regulation that integrate diverse biological information, including transcription factor (TF)–DNA interactions, epigenetic features, and 3D genome organization