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Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg , https://ntu.edu.sg/ase , and https://ntu.edu.sg/cee . We are looking to fill a total of 4 Research Associate
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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GENERAL PURPOSE AND SCOPE OF THE POSITION: The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced
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the data collection and analysis needs for the Academic Enhancement Center, Retention and Academic Success Center, Exploratory Studies Center and Student-Athlete Support Services units in the Fannon
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analysis ● Create visualizations of survey data ● Other research duties as assigned Writing (75%) ● Collaborate on using data and analysis to generate findings and answers to the research questions
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executive-level dashboards and data visualizations using Power BI, Tableau, and related business intelligence tools. Communicate findings and recommendations to technical and nontechnical audiences. Data
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generative and AI-assisted design tools, interactive and web-based media, motion and time-based media, extended reality, creative coding, data visualization, or other emerging forms of visual communication
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 18 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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research programme. Key Responsibilities: Onsite experiments Data collection Data analysis Preparation of reports Paper writing Job Requirements: At least a Bachelor’s degree in related engineering fields
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution