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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
latent spaces). Integrate dynamic, geometric, and biophysical features extracted from large MD simulations. Train and benchmark models on state-of-the-art datasets. Collaborate with PhD and Master students
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managing the project, including overseeing the research database and preparing reports. You will undertake prediction modelling and/ epidemiological research using population datasets including statistical
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pipelines and algorithms to construct and evaluate foundation models for whole-body and abdominal MRI. Alongside this, you will conduct comprehensive and systematic literature and database searches related
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Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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) Positions Postdoc Positions Country Luxembourg Application Deadline 1 Dec 2025 - 12:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling
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, including overseeing the research database and preparing reports. You will undertake prediction modelling and/ epidemiological research using population datasets including statistical analyses of the data
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the spread of invasive species. This work will be conducted through a trait-based modelling framework, integrating remote sensing, chronosequences, field observations, and trait databases to assess how
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LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in ecological, marine or computer science with skills in python and/or R, QGIS, database and