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. This group focuses on Visual, circuit and computational neuroscience. Your activity will comprise Analysis of 2-photon imaging neural data Analysis of behavioura data Analysis of connectomics data And will
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, and narrative analysis of data to easily display and summarize student characteristics, enrollment, retention, graduation, post-college employment, etc. Build data structures involving internal and
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multi-sited design (Italy, Mexico, Indonesia), integrating multi-scalar ethnography, discourse and visual analysis, digital ethnography, and Social Network Analysis. The contractor (Senior Researcher
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and tasks within the Prospect Analytics function of RMPA, which oversees data management, analysis, and visualization for major and principal gift prospect data. The incumbent will extract, synthesize
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 1 month ago
to apply Website https://www.dei.unipd.it/bandi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility of fellows: country/ies of residence
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Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu
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. We are looking for a Project Officer for analysis of plant genomics data Key Responsibilities: Genome assembly from long-read sequencing data De novo gene and repeat annotation of genome assemblies
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
financial modeling, data visualization, and business intelligence solutions to support budgeting, reporting, and planning. Collaborate with the IT team to implement systems that improve data analysis
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RESPONSIBILITIES Reporting request and data services (60%) Work under the direction of Data Services and Medical Education leadership to develop reporting outputs and visualizations that support organizational goals
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tools, data science/statistical techniques, ML techniques including (but not limited to): Data analysis programming and visualization languages (R, Python, SAS); Applied statistics including MVA, MLR