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fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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at Indiana University is seeking applicants for a post-doctoral position. Our DOE-funded efforts include leading roles NOvA operations and data analysis and DUNE construction and data analysis
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or a related quantitative field. Candidates with PhD in biomedical science with genomics data analysis training and experience are also encouraged to apply. Job Description: This position is based within
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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life factors associated with diabetes risk. You will primarily work with the analysis of large-scale data together with clinical data under the supervision of Rashmi Prasad. Analysis of transcriptomic
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scientific publications. -Interviews -Vegetation surveys -Qualitative data analysis -Quantitative data analysis UMR CESCO: The Center for Ecology and Conservation Sciences (CESCO) conducts research
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course
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development of existing image and data analysis tools -performance characterization using various types of samples (calibration samples, model systems, biological samples and/or nanomaterials) -participation in
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2,000 degrees. For more information about the college, please go to http://hss.fullerton.edu/ The Department: The Department of Geography & the Environment provides students with a well-rounded education