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plausible deployment pathways. Numerical simulations will first be conducted in isolation, focusing on OAE alone, and will then be extended (in collaboration with other PhD students and postdocs) to combined
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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Description The overall objective is to improve the integration of polar ice sheets into Earth system models by using neural network emulators at the interface between an Antarctic ice sheet model (Elmer/Ice
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interactions with the network of other major French and international institutions working on these questions. They typically comprise collaborative work, joint seminars, co-organized workshops and conferences
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research environment involving several PhD students and postdocs, and strong regional and international connections, with collaborations with the University of Geneva and CERN. Terms of Employment
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count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
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student will join the various regional and national scientific networks in which their supervisors are involved (ITI QMat and HiFunMat, IRN Nanoalloys, GDR Plasmonique Active, post-GDR Or-nano network), and
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post-doctoral researcher will document her/his work, publish it and present it in international conferences. The main activities will be: • Develop the simulation and digitization software for the LHCb
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a dynamic trinational network including French, German, and Swiss laboratories. This exceptional location in the heart of Europe offers an ideal environment for young scientists through technical and