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artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral
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Theory, and Algebra. Applied Math: Differential Equations, Numerical Analysis, and Data Science. Strong candidates from all backgrounds in mathematics will be given full consideration. Candidates should
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, mass spec, etc.). Basic skills in communication, word processing, database searching, data entry, and data analysis (e.g., ChemDraw, Reaxys, SciFinder, Microsoft Office 365 including Word, Excel, and
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and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an
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data management and ensure implementation of agreed quality control and assurance systems to ensure a consistent and standardised approach across studies and teams Conduct analysis of data and summarise
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are associated with study programs at Bachelor, Master's and PhD level in the disciplines of Societal Safety, Industrial Economics, Urban Planning, Risk Analysis (the last two are international Master's programs
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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with AI, advanced data analytics, and the management of large geophysical datasets to support model analysis and evaluation. The ideal candidate will possess strong communication skills, evidenced by
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CFD tools and workflow; Support and optimise CFD tools including monitoring and resolving issues; Ensure that CFD simulations and analysis carried out within the department are aligned with
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be responsible for developing, automating and optimizing data acquisition and analysis workflows for experimental datasets. The candidate will work on the following tasks: Simulation and modeling