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Your Job Developing drone-mounted sensors for sample collection and measurement of greenhouse gases and ozone-depleting substances Deploying drone technology in the field to quantify facility-scale emissions Estimating emissions using the high-resolution EURAD-IM chemistry transport model...
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feeds Next generation AlN-based power electronics devices 182 / 758 vacancy Vacancy details Position description Category Micro and nano technologies Contract Internship Job title Next generation AlN
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Your Job You will develop, parameterise and validate physics-based battery models, initially focusing on test cells investigated under controlled laboratory conditions. Your work will combine
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Your Job As part of this project, you will fabricate and characterize novel microscale liquid crystal elastomers (micro-LCEs) based on charged microgels with tailored polymer network architectures
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feeds Stage Case-Based Reasoning on Concepts for Sensible Explainable AI- Saclay-H/F 55 / 780 vacancy Détail de l'offre Description du poste Domaine Sciences pour l'ingénieur Contrat Stage Intitulé de
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the information obtained into specifications that can be used by a natural language processing-based analysis tool. The analysis tool is being developed in collaboration with interdisciplinary
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feeds Stage - Optimisation de metasurfaces optiques sur µLED par deep learning 144 / 723 vacancy Détail de l'offre Description du poste Domaine Technologies micro et nano Contrat Stage Intitulé de
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Your Job In this Master's thesis, ternary nitride compound semiconductor samples are to be characterized both electrically and structurally using off-axis electron holography, scanning transmission electron microscopy, convergent electron beam diffraction, and geometrical phase analysis. These...
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feeds STAGE – Deep learning pour la simulation de scénarios électronucléaires H/F 173 / 753 vacancy Détail de l'offre Description du poste Domaine Mathématiques, information scientifique, logiciel
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control