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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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active material at the voxel level– except for certain composite hydrogels and materials with a high coefficient of thermal expansion – which demands specific deposition orientation for optimal performance
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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, optimization, dynamic systems, decision theory, Bayesian inference) ● Is motivated to apply these methods to ecological, evolutionary, and conservation systems; ● Is comfortable with uncertainty, modeling
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unsteady operating conditions Parametric shape optimization using CFD combined with experimental validation, resulting in smart generators for flow control and heat/mass transfer intensification
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- work environment: Research Laboratory. - main mission: The goal is to design and prototype a Reciprocating Expansion Machine with a Linear Alternator (REMLA – 200W–100Hz – 10mm stroke), coupled with
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. Brinkmann) • Ink formulation and printing process optimization: IETR Rennes (Maxime Harnois, Emanuel Jacques and Fabien LUCAS) The research will focus on: • Formulating and optimizing dopant inks for printed
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of Research ExperienceNone Additional Information Additional comments none Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR8003-NICPAN-001/Default.aspx Work Location(s) Number