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learning, high-performance computing, multiscale integrated modeling, and software technology. While our current strengths reflect the traditional focus of the Laboratory on magnetic confinement fusion (MCF
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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AI models, or their applications in science and engineering. AI Postdoctoral Research Fellows will be appointed through the Princeton Laboratory for Artificial Intelligence (the AI Lab) and will
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes
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/or energy *Strong methodological and quantitative skills, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling
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the neural mechanisms underlying our cognitive abilities and they utilize the Rodents as a model organism to apply a combined computational-experimental approach to their studies of decision-making, executive
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education experience for disabled students. Knowledge of models of disability and inclusive educational design and their application in higher education. Skill at developing and delivering professional
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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of identified cell types and computational modeling. Thus we expect these circuit-level reconstructions to inform specific biological experiments, enabling dramatic leaps in our understanding of brain function
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, programming model, etc.) - Learn how to document projects in a descriptive and appropriately detailed manner that can be understood by both researchers and Research Software Engineers - Learn to port, debug