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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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Université de Technologie de Belfort-Montbéliard | Belfort, Franche Comte | France | about 7 hours ago
for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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, addresses key questions in biology, evolution and ecology of microalgae, focusing on different model organisms (Chlamydomonas reinhardtii and diatoms) and ecologically important phytoplankton species, studied
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and by developing a new way of elaboration, using microwaves. After repeating previous synthesis, we will focus on ligands for the specific sorption of Pd. We will particularly focus on the chemical
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identify optimal or near-optimal solutions. To address these challenges, CEA has developed A-DECA (Architecture Design Exploration and Configuration Automation), an in-house Electronic Design Automation (EDA
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development to very applied THz source development and optimization. The respective weights of these different aspects can be, to some extent, adjusted according to the profile of the candidate. The candidate
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connected and valued on their academic journey. Internationally recognised research drives innovation in digital transformation, health, and sustainable development. This scientific progress is supported by
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activities, as well as the development and/or validation of the performance of various hydrogeological and hydrological calculation codes. You will bring innovative approaches to optimize and anticipate
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next