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involved in reproduction. The objectives are to define an experimental model to identify the constraints of sexual selection and to control the parameters for optimizing insect rearing. The thesis's purpose
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meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
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candidate will undertake the following activities: - Synthesis and characterization of catalysts: Develop hybrid materials (metals, oxides, or composites) optimized for the selective formation of aldehydes
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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possibility of exploiting these defects will be investigated. Bibliography [1] M. Lindemann et al., Ultrafast spin-lasers, Nature 568, 212 (2019). [2] N. Nishizawa et al., Angular optimization for cancer
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Control for System Engineering department includes the development of methods and tools for optimizing and controlling the dynamic behavior of systems in a wide range of application domains, in
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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optimally integrated into a geothermal data-assimilation workflow. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-phd-in-computational-geosciences_4… Requirements Research
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https