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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition and
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the gap between academic innovation and "real-world" therapeutic development. The successful candidate will be responsible for lead optimization of novel protein aggregate degraders, utilizing both
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researchers or more senior research positions. Successful applicants will join Princeton's Net-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https
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, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian
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exciting opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of network optimization and approximation
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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exciting opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of network optimization and approximation
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal