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in the process of collecting. In fact, the experiment has recently removed its hardware trigger and is relying on a purely software-based trigger system, in order to maximise its efficiency in
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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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. The development of open-source software (e.g., OpenSim) over the past decade has raised hopes that the problem of muscle force estimation was solved. However, these tools do not consider alterations in muscle
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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, various digital tools have emerged to address these needs: mobile apps, training software, and communication aids (Oussama et al., 2021; Phosanarack et al., 2025). Although promising, these technologies
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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis
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biology, biochemistry, cell biology, and immunology techniques is essential. - Ability to use IT tools and software dedicated to data processing and results presentation. Additional comments none Website