154 optimization-nonlinear-functions Postdoctoral research jobs at Princeton University
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data engineering pipeline, developing usable and innovative solutions
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of existing and novel materials, extensive ex situ (and some in situ) characterization of synthesized materials by materials evaluation tools, and guiding the development and testing of new materials. The work
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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
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. The researcher will work with Dr. Natalia Vélez on an on-going research project examining how children incorporate different preferences and perspectives to make collaborative decisions. Responsibilities will
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the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transitions. The role will report to the Andlinger Center's Dr. Chris Greig, the Theodora D. '78 and William H
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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postdoctoral research position available in the area of phylogenomics to work with Professor Tiago Simes. The Simes lab is broadly interested in phylogenetic methods and applications, using morphological and