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of high-dimensional omics data, ideally including longitudinal data. Excellent programming skills in R. Demonstrated track record in bioinformatics and/or multi-omics data analysis. Ability to work
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Posting Details Position Details Title Postdoc in Real-Time Data Analysis with LHCb at Indiana University Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington
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structures of the future tracker. These activities will be carried out at IP2I. The analysis will mainly focus on the search for CP violation in the top quark sector with data from Run 3 of the LHC
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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through X-ray crystallography and/or cryo-electron microscopy and single particle analysis Data analysis, maintenance, and interpretation, including contributions on authoring publications and dissemination
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of the Incognito Justice research team and will undertake research related to Oxford’s Work Packages. One researcher will focus on legal & policy analysis. The other researcher will focus on empirical data analysis
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data analysis—specifically involving microbiome, virome, and environmental metagenomics—is highly preferred. Applicants should be highly logical, detail-oriented, and self-motivated. An excellent command
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multimodal data analysis is preferred; experience with R, machine learning, or advanced statistics is a plus. Training and Research Environment: The successful candidate will receive interdisciplinary training
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills