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on the genomic analysis primarily in leiomyosarcoma to identify unique genomic factors which impact oncogenesis, prognosis and response to treatment. The candidate will work on various genomic analyses across
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applications. Lead in preparation and submission of new research proposals. Conduct research, analysis and assessment on embodied carbon for buildings, urban farming and other applications. Lead technical
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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-learning by identifying the elements underpinning successful cultures of language-learning through a comparative analysis of Scotland, Wales, Northern Ireland, and Ireland. The successful applicant
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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School, Singapore is looking for candidates with a PHD in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects
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evolution. Our work builds on experience developing pangenome graph construction and analysis tools (PGGB, ODGI, IMPG) and contributions to the Telomere-to-Telomere Consortium and Human Pangenome Reference