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for world-class research and training in pharmacoepidemiology and related disciplines at Rutgers. Over the past 6 years, PETS has developed into a major pharmacoepidemiology group, recruiting numerous new
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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correlated with increased optimism, inspiration, and general social efficacy in individuals. Our seminar aims to approach these issues from an interdisciplinary perspective. Can nostalgia be defined, and how
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correlated with increased optimism, inspiration, and general social efficacy in individuals. Our seminar aims to approach these issues from an interdisciplinary perspective. Can nostalgia be defined, and how
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correlated with increased optimism, inspiration, and general social efficacy in individuals. Our seminar aims to approach these issues from an interdisciplinary perspective. Can nostalgia be defined, and how
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environments, with applications to both the Solar System and rocky exoplanets. The successful candidate will develop theoretical and numerical models that connect the physical and chemical evolution of planetary