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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
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groups that are historically underrepresented in physics departments. These researchers will work with Prof. Michael Troxel to lead large-scale structure (weak lensing and galaxy clustering) projects
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perovskite thin films applications using slot-die coating and other large-area deposition methods. Analyze experimental data to optimize material and device performance, write scientific reports, and publish
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theoretical concepts with available data; Working with large databases (e.g. PATSTAT, ECOLEX, Web of Science); Quantitative time series analysis, including structural break detection and clustering techniques
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different languages, to explore different transformational strategies for sustainable tourism. The specific tasks of this project would consist of document selection and review, data cleaning and pre
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theory Competency in processing and analyzing time-resolved data and handling large datasets. Synthesis and characterization of polyoxometalates Electrochemical catalysis and characterization techniques
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Veterinary
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are creating a world-class innovation cluster for the life sciences. For more information about the lab and team, visit www.camunaslab.org and our research profile . 💻 Position 1 – Postdoctoral Fellow in AI
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following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science approaches for hydrologic predictions, risk analysis. Experience in working with big data