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Languages English English English DevOps / Support engineer for sensitive data sharing and analysis Apply for this job See advertisement Job description ONE POSITION AS DevOps / SUPPORT ENGINEER FOR SENSITIVE
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methods from metric analysis, the theory of currents, fractal geometry, and the Calculus of Variations. Where to apply Website https://lavoraconnoi.unitn.it/en/post-doc-assignments/department-mathematics-ca
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fluids from patients with hypertrophic cardiomyopathy Where to apply Website http://www.unikore.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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on other research tasks in the Centre. Job Requirements: Master in geotechnical engineering or related discipline At least 2 years of relevant experience in geophysical data analysis Familiarity with
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
methodological framework enabling large-scale, automated analysis of the transparency and coherence of data collection practices in mobile mobility applications. The assignments will notably include: analysing
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invite applications for the captioned post. Duties and Responsibilities Work with the Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis
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to institutional research, program assessment,grant proposals, and state/federal compliance. Produce dashboards, tables, graphs, and narrative analysis of data to easily display and summarize student characteristics
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, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
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utilize a range of technical skills including cleaning, manipulation and analysis of large data sets. Beyond developing R-Shiny applications, responsibilities for the successful applicant are project