876 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Hereon" positions at Cornell University
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: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Finance / Grant Writing Quantitative Analysis Data Analysis research Artificial Intelligence Appl Deadline
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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existing programs that can evolve with organizational needs, new partnerships, or new grant initiatives. Application Instructions In the My Information section be sure to enter your full name, address
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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research. For more information about Cornell Tech, please visit our website at: https://tech.cornell.edu . Interested applicants should submit a cover letter, curriculum vitae, and a teaching statement
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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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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 ">https://academicjobsonline.org/ajo/jobs/31738 Applicants should
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plans for developing a successful externally funded research program. The above application materials should be submitted online at https://academicjobsonline.org/ajo/jobs/31866 ">https
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position has the possibility of renewal for up to three years. The successful candidate will work closely with a primary faculty mentor (Dr. Jessica Salerno) to conduct and publish research on moral and
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biodiversity data to enhance the information and decision-making tools available to conservationists and scientific researchers. We achieve this by producing scientific, computational, and big data resources