45 multiple-sequence-alignment Fellowship research jobs at Nanyang Technological University
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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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-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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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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. 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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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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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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manage research projects, ensuring alignment with institutional research objectives Supervision of research assistants, graduated and exchange students Key Competencies and Educational Qualifications: PhD
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challenges. Key Responsibilities: As an early-career researcher developing your academic profile, you will be expected to: Conduct cutting-edge research in areas aligned with the group's research agenda
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical