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the mathematical and statistical properties of the model in order to achieve higher agreement with biological assumptions and better interpretability. The candidate will have strong expertise in generative AI
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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well as the implications of these motives to theories of decision-making, organizations, and public policy. At the heart of this work lies the idea that people are often motivated to hold (or avoid) specific beliefs
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meaningful information from noisy or ambiguous sensory signals? To what extent does neural plasticity in the auditory system occur via mechanisms dictated by classic theories of reinforcement learning, or does
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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python