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to the production and exploitation of large simulation ensembles for the assimilation of paleoclimate data over long climate time scales. · Participate in the scientific exploitation of the simulations produced and
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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, and entertainment that a large university community can bring. More information on the area and all of its amenities can be found here: http://www.visitpennstate.org . Our campuses are located
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and future research studies. Designs and maintains data management and analysis solutions that enable efficient storage, investigation, and dissemination of large-scale biomedical data. Working
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Position Details Position Information Recruitment/Posting Title Post Doc Associate Department Biomedical Engineering Salary Details The minimum of $65,000 Offer Information The final salary offer
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing date: 23:45 on Wednesday 21st January 2026
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George Washington University | Washington, District of Columbia | United States | about 10 hours ago
can be found at https://careers.gwdocs.com/benefits . Other Information: Special Instructions to Applicants: To be considered, please complete an online faculty application and upload a curriculum vitae
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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology