95 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral positions at Princeton University
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the insights from the political economy literature (e.g., policy choice and design, impacts of political and trade uncertainties on investments, etc.), develop stylized quantitative representations of political
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of the Princeton Precision Health (PPH) initiative is to revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced
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on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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-microenvironment interactions during cancer progression. Ludwig Princeton Branch is dedicated to accelerating the study of metabolic phenomena associated with cancer to develop new paradigms for cancer prevention
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collaborate with the ARG team on developing grant proposals.QualificationsRequired qualifications:Doctoral degree in a related field, such as Architecture, Civil Engineering, Robotics, etc.Excellent track
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Brazil, to fill Postdoctoral Research Associate or more senior research positions. Although the call is open, scholars working on policy and public health, or on economic development in the region
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trade uncertainties on investments, etc.), develop stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational
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) for Energy & Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune, and deploy LLM based tools for environmental engineering