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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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members focused on a variety of research methodologies, such as: experimental design, analysis, coding, IRB, and data analysis in topics ranging from digital reskilling to marketing focused research in
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mathematical modeling with community-based surveillance to understand various facets of public health. The ideal candidate for this position will be an individual with ample coding, analysis/modeling, and data
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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
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volunteers for the acquisition of brain activity, carrying out large dataset acquisition sessions, and then performing AI analysis of the data. The project will be carried out with Prof. Daniele Faccio
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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Resources Data Analyst to be responsible for developing employee reports and conducting analysis of significant complexity, including faculty and staff. Assignments support and inform California State
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and manage research projects and work together with junior members to complete data processing and analysis following specific timelines. Lead complex data analysis and writes interpretative reports
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology