105 data-"https:" "https:" "https:" "https:" "Inter University Center for Japanese Language Studies" Postdoctoral positions at Cornell University
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multidisciplinary team, contributing to design, data collection, policy analysis, prototyping, and dissemination. Candidates with expertise in any area—policy, AR/VR tools, community engagement, or programming
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the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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members and be responsible for contributing to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population
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the slowing Whillans Ice Stream in West Antarctica. The project is funded by the Arete Glacier Foundation and will involve revisiting passive seismic data collected on Whillans Ice Plain in 2012-2016
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the opportunity to work with data from, and contribute preparatory work to, major facilities across the electromagnetic spectrum including the Zwicky Transient Facility, the Rubin Observatory, ULTRASAT
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recommenders that may be contacted as a reference after initial screening. Application submissions as well as additional information on pay range can be found: https://academicjobsonline.org/ajo/jobs/30625
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. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/ 30767). Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three
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analyzing and preparing data for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development
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research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify