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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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mathematics, or robotics conference or journal papers. Documented experience in the analysis of neuroscientific or biomedical data or signals (e.g., motion capture, force plates, EMG, or physiological signals
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calling and molecular data analysis. Preferred Qualifications Experience with advanced sequencing pipelines, variant calling workflows, or high-throughput assays (e.g., bulk/single-cell RNA-seq, ATAC-seq
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with mayors and street-level bureaucrats in Brazil, data organization, coding and analysis, comparison of Brazilian and Belgian findings, and contributions to papers and dissemination activities
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apply and should refer to PD2 posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
: Scalable translatomics resources for ovarian cancer research For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University
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related fields.MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics data
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13 Aug 2026 Job Information Organisation/Company National Institute of Advanced Industrial Science and Technology Department Global Zero Emission Research Center Research Field Agricultural sciences
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using qualitative tools, data analysis, writing and publishing academic articles, presenting results at academic events, and organizing dissemination events (conferences and workshops). ‘Observatory
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As