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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 days ago
. Studying literature Scanning rose flowers at different growth stages Implementing and testing neural shape models Writing research reports Where to apply Website https://jobs.inria.fr/public/classic/en
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Economics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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prediction … At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood
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. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
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the EPSRC and is fixed-term for 1.5 years with the possibility of extension. The role is to lead the development of rotor CFD tools for tidal stream turbines. You will work on the EPSRC-funded programme
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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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observations (including remote sensing) or model outputs. Establish approaches to quantify uncertainty in model outputs using different methods. Run scenario analyses to identify management practices with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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observations (including remote sensing) or model outputs. Establish approaches to quantify uncertainty in model outputs using different methods. Run scenario analyses to identify management practices with
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arboviruses (e.g. dengue, zika), where we investigate how host-virus dynamics affect outcomes in different tissues. By combining computational systems biology with rigorous experimental virology, we transform