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. To develop and assess geothermal-driven cooling architectures through modelling, optimisation, and techno-economic analysis, supporting low-carbon cooling solutions for Singapore’s data centre sector. Job
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a long-standing tea breeding programme. The role will be to lead analysis of soil microbiome data, and to carry out plant genetic analysis (genomic selection and identification of quantitative trait
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microscopy. Complete image data analysis to characterize extracellular vesicles. Your qualifications should include: A Ph.D. degree in Cell Biology, Bioengineering, Biophysics, or a related discipline is
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are committed to advancing our understanding the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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pipelines for data processing, integration, and analysis, incorporating sequence analysis, structural modeling, and AI-based predictive tools. Collaborate with computational biologists and software engineers
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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, mass spec, etc.). Basic skills in communication, word processing, database searching, data entry, and data analysis (e.g., ChemDraw, Reaxys, SciFinder, Microsoft Office 365 including Word, Excel, and
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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data