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Research Scientist 3 Requisition ID req38172 Working Title Research Scientist 3 Position Grade 13 Position Summary The Webster Lab (https://websterlab.weebly.com/) and Litvak Lab (https
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Project description:
Cancer prevention increasingly requires the analysis of routinely collected data generated in everyday digital environments. This PhD project will
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 4 days ago
any personal data or photographs. Website for additional job details https://www.fundacionareces.es/fundacionareces/es/proyectos/evaluacion-del-reto… Work Location(s) Number of offers available 1
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, robustness, and fairness of LLM-based research indicators. The main use case for assessing the quality of publications is to improve the reliability of literature-derived data in our technology database
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international collaborations. Where to apply Website https://selezionionline.cnr.it Requirements Additional Information Eligibility criteria PhD degree in: Physical Sciences; Chemical Sciences; Nanotechnology
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 20 hours ago
for Applied Internet Data Analysis (CAIDA) is an independent research group at the UC San Diego San Diego Supercomputer Center (SDSC) focused on the macroscopic structure, behavior, and security of
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, integrate, and analyze big data. Set up and operate data collection sensors. Assist in developing databases, data processing pipelines, and online visualization tools. Assist in preparing technical
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 2 months ago
(HEP) in connections with the TREASURE, a DOE HEP American Science Cloud Intelligent Data Pilot, and with the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. TREASURE is multi-DOE
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characterise population trends and quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and