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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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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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-quality data collection and processing, with opportunities to explore scientific questions at the interface of neuroscience and AI in collaboration with theory and modeling teams. What We Offer 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