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pipelines for data analysis, programming in C++ and Python, Intelligence Artificial. Proficiency in English (written and oral communication) will also be valued. 3. Work Plan: This work plan includes
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qualitative methodologies in the process of database management and statistical data analysis; Publications in peer-reviewed international journals and presentations at conferences in the scientific area of
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does not lead to an academic degree; - Have experience in: a) Data Analysis and Organization b) Development of studies, research and diagnostics Specific Requirements - hold a master's degree in Business
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analysis, generalized linear models and Cox regression; Good knowledge of the English language (written and oral); High sense of responsibility, organization and orientation of work towards results; Ability
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automated analysis of vulnerabilities. Workplace: The work will be developed at NOVA Laboratory for Computer Science and Informatics / Departamento de Informática / Faculdade de Ciências e Tecnologia da
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of renewable biological resources, including in relation to environmental variability. This includes the development and use of data analysis methods and models capable of describing and integrating physical and
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing of tax data. Core goals include
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interviews is open to award no. 1 research grant in the field of “Analysis of high-resolution morpho-bathymetric and seismic data for realizing the CARG geological sheet No. 627 “Selinunte” and development
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area: Renewable Energy This call aims to select a candidate for the award of a research grant (BI master) in the area of renewable Energy, with a focus on Marine engineering for analysis of scenarios
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution