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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
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of technologies used in support of biomedical research, such as R, Python, databases (SQL), version control (Git), scientific workflow tools and HPC clusters. Cloud computing tools would be a bonus. Ability to
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utilization Programming experience in Python Advanced knowledge of geostatistics The transition of the energy system towards climate neutrality requires, particularly in industrial applications, the use
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of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch. In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612. Some candidates may be
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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- Ph.D. in chemistry, physics, or a closely aligned field. - Demonstrated experience in conducting quantum scattering calculations. - Strong programming skills in languages such as Python or C/C
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39157 Job Number SE179924 Position Information Department or Unit Name Physics Position