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for the numerical simulation of high-frequency acoustic and electromagnetic waves is a longstanding open problem in computational mathematics. These waves underpin a plethora of communication and imaging technologies
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learning and/or statistics, Linux Desired skills: strong track record of papers on whole brain modeling, experience working with EEG (and/or MEG), fMRI, MRI + DTI (including tractography), simulation-based
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to propose a number of probable scenarios that would reflect human organization in the future ultra-flexible factory. These scenarios aim to simulate future work situations in order to identify “what is
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
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modeling and simulation, and statistical inference (lead by mathematicians and biologists) - The recruited postdoc will be asked to work in the labs on a daily basis. - The recruited postdoc will be expected
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and motivations) and then to combine modelling and complementary experiments to refine our understanding of the phase transition mechanisms at play. To do this, the postdoctoral researcher will use
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analytical models and simulations to characterize the selective regimes, including polygenic selection, acting on genetic variants associated with complex diseases • Actively contribute to the writing
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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criteria - Master simulation tools such as SPICE, VHDL(-AMS), Cadence, as well as calculation and modeling tools such as Matlab/Octave or Python. Skills in finite-element type numerical simulation will be a
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cases as well as a corpus of existing simulated and real data to be used for validation purposes based on open-data. - Work on a composable architecture able of high-bandwidth I/O, large storage