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data, including variant calling, sequence alignment, and functional annotation. Perform protein work including purification, characterization, and functional assays. Conduct microbiology research
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to support precision oncology research. The position aligns with the University’s mission to advance scientific discovery in cancer genetics and improve patient outcomes through genomic medicine. Key
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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-generation sequencing, metagenomic analysis, and geothermal microbial ecology is essential. The candidate must also have superior writing skills and a track record of publication. Key Responsibilities: Develop
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with
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of seismic ruptures Explore applications to earthquake sequences and induced seismicity in complex tectonic and engineered environments Collaborate closely with researchers at NTU Singapore and ETH Zurich
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research
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extraction and sequencing. Knowledge of histological analysis and tissue staining techniques. Strong organizational and analytical skills with the ability to work independently. Excellent communication and
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research