10 parallel-computing-numerical-methods Postdoctoral positions at Purdue University in United States
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systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization. Desired expertise includes
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candidate will play an active role in analyzing LZ data, with opportunities to improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place
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decision science, psychology, communication, political science, sociology), or a technology-related field (e.g., computer science, industrial engineering) conferred by the expected start date Substantial
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
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of computational tools capable of proposing synthesis routes (or “recipes”) that primarily use enzyme catalysis to make complex small molecule targets (e.g., pharmaceutical agents or monomers for bioplastics
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-funded research program focused on inhalation toxicology and immunotoxicology, with an emphasis on the cellular and molecular mechanisms of lung disease in susceptible subpopulations. Research in the lab
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the Purdue Interdisciplinary Center for Korean Studies (PICKS) and supported by the Academy of Korean Studies (AKS). Working closely with the Director of the Korean Program and the Purdue Interdisciplinary
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on Aging (NIA) and includes an experience sampling methodology (ESM) study of daily cognition and social interactions in older adults, as well as multi-method data collected from the Minnesota Twin Registry
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Job Description Apply now Req Id: 42743 Job Title: Post Doc Research Assistant City: West Lafayette Job Description: Job Summary The Center for Food Conservation and Waste Reduction (https://conservefood.org/) , housed in the Department of Agricultural Economics at Purdue University, has funding...
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communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra