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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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needs. Examples of Work Performed • Collects, prepares, and integrates various large and complex data sets to be utilized in various assessment scenarios. • Analyzes and models data to identify trends
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of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in
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, and numerical modeling - confident handling of big data and time series analysis methods - good analytical and problem-solving skills, good communication skills, and the ability to work independently
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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collisions applied to Large Hadron Collider (LHC) and/or the Electron-Ion Collider (EIC) and experimental data analysis with ALICE (A Large Ion Collider Experiment) or Stellar Intensity Interferometry (SII) in
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Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg. The Earth Observatory of Singapore (EOS) seeks a Research Associate to work
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analytic activities and summarizing results and participates in the development and the testing of efficient protocols for the collection, verification, management, and analysis of large amounts of genotypic
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collection methods. Work on analyses activities, along with manual and electronic data processing systems in gathering, storing, retrieving, and analyzing data. Management of large databases which include
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that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of computational and experimental postdoctoral fellows