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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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lighting system. 4) Analysis and processing of information for the implementation of relational databases. Where to apply Website https://gestiona.comunidad.madrid/poem_webapp/#/ver-oferta/61143 Requirements
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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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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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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 29 days 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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. 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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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
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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python
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. Experience with data visualization software such as Tableau, D3.js, ggplot2 or Gephi. Experience with statistical packages such as STATA, SPSS or SAS, or experience with geospatial analysis software. Master’s
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treatments, and contributing to the analysis of CRISPR screening data. Duties include*: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate