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Research Engineer(postdoc) in Biomaterials Engineering and Environmental Technologies Research Group
Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 3 months ago: https://port.lukasiewicz.gov.pl/en/data-protection/ Information about candidates applying for the above role is public information in the scope covered by the requirements specified in the recruitment
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expertise lies in machine learning, artificial intelligence, data mining, signal processing, or statistical modeling, with an interest in applying these skills to ocean science. You have strong organizing
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or seabed mining. The candidate will join the Functioning and Vulnerability of Marine Ecosystems group at ICM-CSIC: https://www.icm.csic.es/en/research-group/functioning-and-vulnerability-marine-ecosystems
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5 Dec 2025 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Geosciences » Other Computer science » Modelling tools Chemistry » Other Researcher Profile First Stage
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, including image data mining Supervise master’s and or PhD students to a certain extent Contract terms The position is a temporary full-time employment for two years. The position requires physical presence
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a lifestyle gradient. The postdoc will mine this diversity to isolate organisms, validate biosynthetic gene clusters (BGCs), characterize microbial metabolites, and functionally test candidate
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expression, pathway activation, and functional assays. The project provides deeply sequenced microbiomes from humans and the environment across a lifestyle gradient. The postdoc will mine this diversity
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experiences to shape justice frameworks that are both empirical and conceptual. The project will apply this methodology in mining communities across Ghana, Chile, and Australia, focusing on Lithium and other
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for the purpose of the recruitment procedure by the International Institute of Molecular and Cell Biology in Warsaw. Full information is available under the link: https://bit.ly/3UFWpY2 . Procedure for reporting
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, textural properties), using automatic literature mining tools; c) Active participation in data preprocessing, property engineering, and selection of relevant variables for training machine learning models