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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to advancing carbon‑neutral heating in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
within protein-nucleic acid complexes. Journal of Chemical Theory and Computation. [3] Mokhtari, O., Grudinin, S., Karami, Y., & Khakzad, H. (2025). DynamicGT: a dynamic-aware geometric transformer model
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, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies in environmental science, quaternary
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, data science, computational science or cognitive science Desirable, but not essential: Experience in agent-based modelling, Analysis of spatial or temporal movement data, Interest or initial experience
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Researcher (R3) Country Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
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(IDH1/2) genes and this project focusses on how these mutations re-program liver cells, in the context of biliary cancer. We are using CRISPR-edited human cells and novel transgenic models in mice
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Deadline 20 Feb 2026 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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: Experience in analysing neuroimaging timeseries (e.g., EEG and fMRI) Experience in creating and implementing mathematical models of cross-scale neural systems Experience in implementing computational models