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Field
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sensitivity studies using synthetic and real-world data. Develop reproducible, scalable software in Python, MATLAB, and C++ for research and operational transition. Maintain version-controlled repositories
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software (instrumentation, automation, data pipelines). • Strong scientific rigor and commitment to high-quality research. • Availability to travel for collaboration and project activities. Where to apply E
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the rheodialysis technique with spectroscopy devices using Netzsch’ rheometers and proprietary software so that it can easily utilised by Netzsch customers for quantifying controlled release in any industry
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 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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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate the use of multimodal large language models and fuzzing
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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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. 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