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Field
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/ambulatory assessment/EMA; (2) data analytic skills for intensive longitudinal data, including app-based surveys; (3) R and/or MPlus software packages; and (4) collaborating effectively with teams
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for automated vulnerability detection to (1) maximise the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
into the eMob-Twin software platform (emob-twin.fr), enabling the simulation and evaluation of scenarios related to charging infrastructure planning, grid integration, and vehicle-to-grid (V2G) services
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execution of lab-scale grinding and classification trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze
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with a focus on interpretability, robustness, and real-world applicability in healthcare settings. The role also involves developing reproducible research software and scalable data analysis pipelines in
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research. Preferred Qualifications: Advanced proficiency in dataset management and statistical analysis using Stata, R, and/or other specialized statistical software Strong record of analytic writing in
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. Proficiency with common computer software, physiology data analysis programs, and biostatistical software. Preferred Qualifications Experience with preclinical animal subject research principles and practices
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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independent and collaborative theoretical and computational research in quantum condensed matter physics Develop and implement high-performance scientific software, and simulation tools Publish research papers
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within one year, an adequate knowledge of the two official languages of Catalonia Advanced level of English Advanced level of office software tools (Excel, Word, PowerPoint, etc.) Skills will be valued