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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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cross-validation and simulation-based checks; document performance and limitations. * Software engineering: contribute maintainable code to laMEG; add unit/integration tests and continuous integration
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, necessary software, Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7077-BORBUR-002/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research
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components. Expertise: - Development of automated and flexible software testbeds; - Physical and virtual energy measurements of IT systems; - Life cycle assessment of digital solutions. Website for additional
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). The technical challenge will be to manage large datasets for many clades and fitting a large number of models. Softwares will be mostly in R but will likely involve other bioinformatics tools (Bash, python) and
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well as optical measurements on the platform's other instruments (infrared photoluminescence, Raman). *Development for operando and in-situ measurements, both hardware and software. *Perform data analysis
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- Ability and interest in conducting experiments in a controlled environment (tank experiments) - Knowledge of Matlab or Python required - Knowledge of numerical simulation software such as Comsol