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., power supply for lunar habitats). Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria quality
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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nanopore data. • Experience in quantitative microscopy • Excellent communication skills in English; collaborative, organized, and self-driven. Desirable • Experience with next-generation sequencing analysis
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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Assist in the preparation of departmental reports. Perform analysis of department data and identify areas of opportunity and change and then use data to evaluate effectiveness, and progress Provides
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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institution to ensure departmental financial stability and perform complex analysis of revenue, expenses, budgets, and business processes. This role will deliver insights and provide data-backed
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relevant data. The focus is particularly on the assessment of the seismic vulnerability of historic centers, building aggregates, and the individual structures that compose them. Where to apply Website https
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Information Work Location(s) Number of offers available1Company/InstituteUNIVERSIDAD DE OVIEDOCountrySpainState/ProvincePRINCIPADO DE ASTURIASGeofield Contact State/Province Asturias City Oviedo Website http
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and