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explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in information-seeking
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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are different, and no method can currently tell them apart. This project builds one — with consequences for how carbon inequality is measured, and for a new kind of demand-side climate policy. About us At the
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skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population differences in CKD burden and identifying
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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databases using GitHub Maintain databases using R, Python, and SQL in collaboration with members of the research team Create and link customized databases and analytic datasets in UNIX environments Assist in
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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psychology Experience with quantitative research methods Experience with R, Python, Javascript/HTML/CSS, or other programming languages Experience managing a team Other Requirements: Regular weekend
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co