114 linked-data-"https:" "https:" "https:" "University of St" Postdoctoral positions at Cornell University
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manuscripts for high-impact peer-reviewed journals and other research products, including reports and relevant information to partners. (35%) Present results at professional meetings, conferences, and popular
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. There will be requirements to develop data management systems that enable the use of the CNCPS and the evaluation of outcomes from changes to nutrition and cattle management in India. Key Responsibilities
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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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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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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
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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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library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected to summarize and present results both within the lab and at
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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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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening