105 computer-science-data-warehouse "https:" Postdoctoral positions at Cornell University
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the CTECH Postdoctoral Fellows Program. This position offers a unique opportunity to work at the forefront of computational transportation science, AI-enabled mobility modeling, urban analytics, and cloud
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problems in urban infrastructures. Experience in infrastructure systems, urban technology, networks science, information, decision and complex networks, computational and infrastructure intelligence, revenue
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS
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Postdoctoral Associate, Experimental Particle Physics Postdoctoral Associate, Experimental Particle Physics - CLASSE The Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE
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Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31381 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website
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Postdoctoral Associate - Ecology and Evolutionary Biology Position Function The Babonis Lab at Cornell University seeks to hire a motivated postdoctoral associate who will use a broad range of
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; black studies; classics, comparative literature; computer science; ecology; feminist, gender and sexuality studies; Indigenous studies; Latin American studies; medieval studies; performance and media
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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit a CV, a cover letter that includes a
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. The Postdoctoral Associate plays a central role in establishing a research program linking field-based disease biology with genomic pathogen surveillance and pangenome scale analysis of fungal pathogens