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Institut Jean Lamour - CNRS - Université de Lorraine | Nancy, Lorraine | France | about 2 months ago
martensitic transformation in TRIP-type RHEAs at room temperature. The specific goal of this internship is to develop and validate a 3D phase-field model capable of describing: The early stages of martensitic
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Conditions: Knowledge in 3D modeling, additive manufacturing, computer vision. Good communication skills and fluency in oral and written Portuguese and English. Work Plan: Collaboration on various tasks within
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information within neural network weights, NeRFs excel at producing strikingly sharp novel views of 3D objects. Recently, numerous generalizations of NeRFs utilizing generative models have emerged, expanding
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infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and
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is an in-person or hybrid role, we cannot accommodate a fully-remote candidate for this role. What You Will Be Doing Model and simulate: Build and mesh 3D model geometries Develop math models and
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retention, control), physical and numerical modelling (2D/3D) Independent research in the field of the dissertation topic Independent teaching, language of instruction German Training and further education
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excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in
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. The technical tasks consist of preparing 3D models of the human respiratory tract airways using CT medical data, measuring and analysing them geomorphometrically, and conducting virtual experimental studies using
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The Ignaz Semmelweis Institute (https://semmelweisinstitute.ac.at/) seeks applicants to fill five group leader positions. The Institute’s focus is basic and translational research in infectious
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with NeRF, Gaussian Splatting, or other neural rendering models. Knowledge of 3D reconstruction pipelines such as photogrammetry, structure-from-motion (SfM), or multi-view stereo (MVS). Interest in