1,420 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions
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. Literature describes mathematical models to predict these currents based on network theory and difference equations. The goal of this internship is to implement such a model in Python, validate it against
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different large-scale projects Programming experience in MATLAB, Python, and R KEY RESPONSIBILITIES & ACCOUNTABILITIES 1) Recruitment of research participants 2) Managing research studies 3) Data management
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repositories and support multi-developer collaboration. Standardize naming conventions and maintain consistent environment configurations. Ensure compatibility and reproducibility across different student
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streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.” This project will use whole-genome resequencing to tackle three key questions: Which
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China Family Panel Studies data. The role involves conducting econometric methods using Difference-in-Differences frameworks, Endogenous Treatment Effect Models, and approaches including natural
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challenges and make a meaningful difference. The Division of Research & Enterprise leads UNSW’s strategic research direction, and our Research Analysis, Data and Reporting (RADAR) team plays a critical role in
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to a research project aimed at exploring individuals’ preferences for different representations of action. The work involves developing an online experimental platform for administering a gamified task
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. Numerical models of varying complexity and different observational data sets are used to study atmospheric processes and phenomena on time scales ranging from single weather events to long term climate change
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financial sustainability, ensuring our work continues to make a lasting difference. About the position Lead development of AI-powered remote sensing pipelines to support climate and environmental research
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques