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14 Apr 2026 Job Information Organisation/Company Instituto de Tecnología Química Research Field Chemistry » Computational chemistry Researcher Profile First Stage Researcher (R1) Positions Master
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phytoplankton, water quality monitoring and related topics. Experience with cyanobacteria and harmful algal bloom. Experience with working with high throughput sequencing data sets. Experience synthesizing large
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Principal Investigator (PI) or Co-PI on significantly large externally funded research grants (e.g., NIH, NSF, HRSA, DOE) with sustained funding history. Demonstrated ability to build and sustain federally
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people where they are. A typical work week will include a large amount of programming and data pipeline development, along with meaningful collaboration, data management, requirements gathering
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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disparities across the prevention and survivorship continuum. Our work leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team
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include community outreach, data collection, sample collection, laboratory work, and/or field work. Collects and/or organizes data through implementation of research procedures and understanding of research
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, the nine departments comprising UFIT are: Academic Technology; AI² Center; Applications, Development, and Integrations; Business Center; Customer Experience and Resource Planning; Data Platform and Analytics
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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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of Biomedical Informatics at Columbia University is seeking a highly motivated data science engineer to support large-scale observational research within the OHDSI (Observational Health Data Sciences and