82 algorithm-development-"Prof"-"Prof" Postdoctoral positions at Princeton University
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the Dean for Research of Princeton University. Despite a significant increase in policy experimentation during the last two decades, there has been little development in institutional experimentation
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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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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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects
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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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interdisciplinary program that combines the efforts of a diverse group of faculty, programs, and schools to develop a dynamic understanding of urban issues past, present, and future. Its theme, Cities on the Edge
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international politics of economic development; the political economy of human security; the evolution and impact of international institutions; and the politics of international law and human rights policies
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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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-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