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quantitative training), mathematics, statistics, or computer science. Experienced in R, Python, and/or Matlab. Good communication skills. Preferred Qualifications Master’s degree economics, business (with a
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Recognised as a leading authority in specialist full stack Python software development, both within and outside the University. Enable academic endeavours by delivering high-level professional
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. Conducting research on topics related to experimental finance and asset markets. Programming experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments
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benchmarking tools About you: You have prior knowledge of programming in python and are familiar with machine learning (ML) libraries in python. You have a strong interest in machine learning (ML) and deep
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familiarity with Python, social network analysis using tools such as R), and be able to connect with social science questions and methods. The ideal candidate will conduct research at the intersection
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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of power systems, quantum computing and artificial intelligence; (b) have strong publication record in top-tier journals or conferences, along with excellent analytical and coding skills (e.g., Python
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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: Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow Familiarity with transformer architectures and large language models (e.g., BERT, GPT) Experience in building, training
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research capability, and experience working within collaborative research environments are essential. Proficiency in Python and a solid grasp of planetary geological processes, especially those relevant