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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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longitudinal studies. Particular analyses will adapt techniques from psychometrics, including item response theory and factor analysis, to analyze the LEVANTE data. These analyses will include examination of how
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substantial component of the work focuses on large scale empirical research in international macroeconomics and finance. The Global Capital Allocation Project (GCAP) Lab mixes data, economic theory, and
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experience building ML systems, designing and running experiments in PyTorch or JAX Strong publication record in top machine learning conferences (e.g. NeurIPS, ICML, ICLR). A strong background in theory is a
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glioma models to investigate novel therapeutic strategies and radiation. The goal is to explore a paradigm shift from the somatic mutation theory of cancer to a wound-healing and metabolic reprogramming