392 developer-"https:" "https:" "https:" "Robert Gordon University" positions at CNRS
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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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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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understood. The PhD candidate will develop theoretical and data analysis method to interpret single-cell data from endothelial tissues and to produce a working model of how phenotypical changes occur over long
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coupled fibre rings. In this system, light evolves in discrete steps. This kind of evolution leads to nonlinear dynamics that are fundamentally distinct from those in standard photonic lattices, giving rise
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controlled spatial periodicity and tunable disorder landscapes, our experimental system can be driven across regimes ranging from linear-wave dynamics to solitonic states and fully developed turbulence. By
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targets to develop new immune therapies toward "HIV-Cure". The project implies pDC and sub-population purification, preparation of the cells for sequencing (encapsulation and sequencing done by the Genom'IC
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-dependent spectral phase and delay. The postdoc will develop the associated spatiotemporal metrology, integrate the flying-focus optics into high-intensity beamlines and carry-out laser-plasma acceleration
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in physics analysis and detector development has also been directed to physics studies for the FCC-ee project and FCC detector R&D, especially in the development of the future ALLEGRO liquefied noble
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many genetic mutations "uninterpretable" in clinical settings. Our project will develop an artificial intelligence approach capable of predicting, for each mutation and each cell type, its impact on