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Field
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on empirical results and professional feedback. Developing, documenting and maintaining reproducible research code, including version control, automation of training and evaluation workflows and the use of AI
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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring
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. Position Function The project scope offers an opportunity to advance both applied conservation practice and fundamental ecological understanding. The incumbent will refine automated detection models
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competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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automation We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern
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chromatography and liquid-liquid extraction Experience with automated control systems. Familiarity with Aspen Plus software, Python, thermodynamics, and general chemical purification techniques. Familiarity with
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also serve as an experimental lead within the ACES Lab, mentoring students in hands-on engine research, emissions analysis, LabVIEW based control and automation, optical diagnostics, and technical
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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning