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with other PhD candidates and postdocs, and opportunities for research to stay with partners, both nationally and abroad, through its international network. This PhD position “Distributed Optimization
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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research platform. We’ve stripped away the boundaries of what you can access and touch internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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platform. While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — professors, postdocs, and PhDs — not from other trading firms. We seek mental