97 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral positions at Princeton University
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technologies enabling the development of property, and the religious and moral aspects of poverty and ownership. Intellectual, environmental, and economic historians, as well as historians of art, gender, race
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technologies enabling the development of property, and the religious and moral aspects of poverty and ownership. Intellectual, environmental, and economic historians, as well as historians of art, gender, race
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of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various subdivisions of the squamate body plan
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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research positions in the following fields:1. Microfluidic and Lab-on-Chip development in a multidisciplinary lab. Candidates should demonstrate track-records in microfluidics, Lab-on-Chip, and micro
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; biodiversity; conservation; environmental science and policy; infectious disease and global health; and sustainable development in impoverished and resource-challenged regions of the world. The Term
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revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation
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-year appointments. In addition to the aforementioned project, the appointee will have opportunities to develop additional projects with members of Dr. Vélez's lab and/or maintain their ongoing work
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develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions
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until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus