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science and engineering applied to stakeholder-relevant issues. The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL's model data (both historical and future
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signals, imagery, and natural language, via adaptive machine learning; 2) Personalization of sequential decision making, biophysical digital twins, and the operation of digital and physical systems; and 3
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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and interest. References may be contacted for the candidates who make the shortlist for this position. Applicants must apply online via.: https://puwebp.princeton.edu/AcadHire/position/40241. The review
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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systems and the circumstances under which people will trust AI systems to make decisions on their behalf. This is a collaborative project with researchers at Princeton University (Tom Griffiths, Peter
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to the consortium fundamental models that provide detailed techno-economic, life cycle and multi criteria decision making analyses of a wide range of processing pathways that include bioenergy and biorefinery systems