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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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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 Description The team 'Evolution
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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Astroparticle domains, covering GW, Gamma & X-rays, neutrinos, CR, radio, optical. Within this project, Gammapy will be improved to enable multi-messenger data analysis workflows. Where to apply Website https
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description: We are seeking a postdoctoral researcher with solid expertise in device physics modelling, compact model development, and/or circuit simulation. The successful candidate will: • Develop physical
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features to make the simulation more realistic. Moreover, the postdoc will be encouraged to pursue analysis of a topic of their chosing in the ALERT group or to contribute to the development of new proposals
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling