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Field
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candidate will apply advanced computational approaches to integrate multi-omics and imaging datasets, identify disease mechanisms, therapeutic targets, and biomarkers, and contribute to an interdisciplinary
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at establishing synthetic motion as a new paradigm for spatio-temporal metamaterials. Collaboration within a multidisciplinary team involving experimental and theoretical physicists. Involvement in publications
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documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your
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environments. Job Responsibilities: Analyze and characterize emerging multi-agent AI and HPC workloads to identify performance, scalability, and system-level challenges. Design, implement, and prototype
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: RNA extraction, RT-PCR, in situ hybridization, and gene expression alteration (silencing, knock-down, transfection).Bioinformatics & imaging: transcriptomic analysis of candidate genes and confocal
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molecules. Human physiology is governed by thousands of dynamic components interacting across vast biological scales. While advances in imaging and molecular profiling have transformed individual disciplines
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prototype. The position combines device development with exploration of use cases and pathways to commercialization, and directly supports NTU’s mission to develop and commercialize emerging quantum computing
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relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing
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extracellular vesicles/exosomes. Advanced cell culture, molecular biology and imaging approaches will be combined to study cellular responses and mechanisms relevant to oral disease and regenerative medicine
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-targeted therapeutics. The project combines in vitro and in vivo tumour and blood vessel modelling, tissue histology, advanced imaging, single cell transcriptomics and bioinformatics approaches