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temperature, flux rate, surface coverage, plasma composition and excitations. The seeding process of a new layer in heteroepitaxy requires large-scale surface modelling with accurate force-field parameters
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. Familiarity with scRNAseq, bioinformatics tools, and the analysis of large datasets is desirable but not required. If you are enthusiastic about pursuing innovative research in pediatric HIV and immunology and
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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involves conducting a data-enabled trial with the ultimate aim to tackle antimicrobial resistance and preparing for the development and funding for a SMART trial. The postholder will work closely with
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on complex assignments. • Highly self-motivated individual with ability to grow to independently represent TUII and the university at large. • Ability to use/willingness to learn to use various software
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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something groundbreaking! The selected candidate will have an exciting opportunity to contribute to cutting-edge computational research, analyzing large-scale phenotypic and genomic data with real-world
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen