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the probability of detection of new planets in a minimum total exposure time with HARMONI. This work paves the way for the development of new algorithms required to detect planets like those in our solar system
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issues: • Development of algorithms for the efficient evaluation of the input polynomials for various numerical and reliable data types, possibly using automatic code generation and just-in-time
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13 Mar 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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methods for wireless power transfer and control of bioelectronic implants deep inside the human body. The research will focus on: 1. Wave Physics & EM Wave Control – Developing theoretical models for wave
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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, y2, y3. In this case, the condition is indeed equivalent to the vanishing of the Wronskian of y1, y2, y3. Furthermore, algorithms have been developed and implemented for this kind of quantifier
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algorithms, development of the readout electronics for the photo-detection system, and development of the analysis framework for an analysis of oscillations in DUNE using atmospheric neutrinos. Over the next
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physical chemistry to develop a methodology for simulating the dynamics of low-energy electrons in matter. The aim is to gain a better understanding of how secondary electrons emitted during radiolysis
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mathematical developments to account for the post-selection inference context. [1] P. Abry, J. Chevallier, G. Fort, and B. Pascal. Pandemic intensity estimation from stochastic approximation-based algorithms. In
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and