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in ethnographic research, qualitative fieldwork and data analysis. Specific Requirements Language skills: English – very good Ukrainian and/or Russian – very good LanguagesENGLISHLevelExcellent
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Engineer, Steward Observatory Posting Number req26992 Department Steward Observatory Department Website Link https://astro.arizona.edu Location Steward Observatory Address 9040 S. Rita Rd, Suite 1500, Tucson
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Department: SOM Department of Biostatistics ----- Faculty Position Title: Assistant/Associate Professor - Biostatistics & Data Science (AI Focus) Job Family Group: Academic Job Description Summary
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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/computational biology or a related field. Very strong commitment to rigor and scientific integrity. Proficiency in a major programming language used for data analysis, such as R or Python. Experience with single
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data analysis and interpretation, and maintaining accurate records of research activities. The successful candidate will work closely with laboratory personnel to advance the goals of sponsored research
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administrative assistance in the areas of program and project planning, research, and analysis. Responsible for analyzing data, preparing reports, and making appropriate recommendations. Serves on a variety of
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and project planning, research, and analysis. Responsible for analyzing data, preparing reports, and making appropriate recommendations. Serves on a variety of committees in a support capacity. Performs
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Summary Provides analysis, forecasting, financial oversight as well as federal and state regulatory compliance oversight for externally funded grants and contracts awarded to the University (FY25
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini | Italy | 2 months ago
learning. Applications to link prediction, community detection, and emerging social dynamics analysis will be explored Where to apply Website https://pica.cineca.it/uniroma2/ Requirements Additional