102 parallel-processing-bioinformatics-"https:" Postdoctoral positions at Cornell University
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or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu . If you require an accommodation for a disability in order to complete
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Ithaca, New York and may require some travel and onsite work at CERN. The anticipated hiring salary for this position is $65,000. All applications should be submitted via Academic Jobs Online at https
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required. Additional beneficial but optional skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit
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. 20% - Investigate the spatial patterns. 20% - Present at scientific meetings and publish in the primary scientific literature. Requirements Ph.D. in fisheries, ecology, marine biology, bioinformatics
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their letters directly through the link provided by Academic Jobs Online. Employment Assistance: For specific questions about the position or application process, please contact the Recruiter listed in the job
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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does not have supervisory responsibilities but will have the opportunity to interact with and mentor graduate and undergraduate students. To apply: Please apply via Academic Jobs Online ( https
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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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the option to work remotely 1-2 days per week. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31803 ">https://academicjobsonline.org/ajo/jobs/31803 ). Qualified
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to create the world’s largest open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible