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-pilot, Cursor). Preferred: Experience with legal data analysis, especially tax rulings or court decisions. Additional Information Benefits Why join the AITAX project? 🌍 Make a Difference: Work on a game
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ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR7370-JULBER-001/Default.aspx Work Location(s) Number of offers available1Company
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
establishment, optimization, and troubleshooting for robust and reproducible outcomes Computational and digital research skills, including RNA-seq data analysis, R-based statistical analysis and visualization
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sciences, biomedical engineering, or psychology; good command of English (minimum B2 level); proficiency in using data analysis software (familiarity with Spike2 software is an additional asset); basic
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and integration of multi-omics data. Where to apply Website https://www.academictransfer.com/en/jobs/363694/msca-dn-phd-position-in-liquid-… Requirements Specific Requirements We welcome applicants from
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acquisition. Ability to analyse and interpret experimental data. Experience using MATLAB, Python or equivalent software for data analysis. Strong technical problem-solving skills and the ability
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irradiation environments. Computational Skills • Python programming (data analysis and scripting). • Linux environments and high-performance computing (HPC) systems. • Simulation data management, post
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and
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for the processing, analysis and interpretation of large volumes of scientific data, as well as to the integration of artificial intelligence-based tools into highly technologically complex research environments