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Field
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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NeuroSchool, Aix-Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
distribution varies among cells. The objective of this PhD project is to characterize and optimize, first in slices and then in vivo (mice, marmosets) a novel photostimulation (PS) method that combines
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doctorale et l'établissement en ce qui concerne le taux d'encadrement de doctorants par un directeur de thèse. Le laboratoire IRIMAS propose ce sujet : COUPLAGE A L’AIDE DU TRANSPORT OPTIMAL DANS LE CADRE DES
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for prediction models while maintaining the original data semantics. This selection can be framed as an optimization problem. However, its inherent complexity presents scientific challenges, causing current
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order to relevant to our problem. The second part of this topic consists of studying the optimization of USP location in a given territory. The aim is to enable the population to access them with a
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demand management on the electrical grid. This thesis aims to develop optimization and decision-support tools to enhance the EV charging ecosystem while considering technical constraints, vehicle usage
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thus optimize its use for both stock discrimination and automated fish age estimation. This thesis will be based on several varied case studies such as common plaice (Pleuronectes platessa) and herring
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8 Mar 2025 Job Information Organisation/Company Université de Tours Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country France Application Deadline 9 Apr 2025 -...
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(Yaghmaie et al. 2019) based on reinforcement learning technique, with specific activation functions, the authors show that there could be solutions to optimization problems under constraints for a class of
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, optimizing transport policies becomes necessary and urgent. Numerous vehicle routing problems have been identified and extensively studied in recent decades. Many heuristics have been proposed to solve various