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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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we think about the world. Your opportunity: The Data Sciences Institute (DSI) is a highly specialized research initiative at the University that draws on world-class research expertise across multiple
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settings. Knowledge, Skills and Abilities • Proficiency in statistical software such as R, Stata, SAS, or Python (R preferred). • Experience with data wrangling, reproducible research pipelines, and version
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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trustworthiness evaluation workflows within the AI Technical Sandbox. Is Your profile described below? Are you our future colleague? Apply now! Education Master in computer science Experience and skills Python
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. The candidate must have experience working within a team environment, be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The candidate must be proficient in query
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emerging tools. This position is essential to the success of multiple funded projects and will play a critical role in enabling future grant applications and publications. The ideal candidate is
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an academic, research or similar environment, including different types of data from multiple sources, including those with complex ethical and governance requirements. Thorough understanding of legislation
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to understand how multiple restoration schemes interact across entire estuaries. There may also be a fieldwork component to validate model outputs and explore real-world restoration dynamics. Working within