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meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations to investigate the flow physics. You will also construct a prototype to test the performance using
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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | 2 months ago
(storage in stabilized form). Assess the compatibility of treated residues with valorization in the construction sector. Develop a prototype of an integrated process, adaptable to the characteristics
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— employees have access to a comprehensive training catalog covering both foundational and advanced topics, from data science and AI to coding best practices, cloud platforms, green IT, and soft skills. OCTO
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Surface Signaling, Protein Structure and Function, Plant Development, Biomolecular Imaging, Plant Regeneration, Protein Folding and Stability, and Green Mechanobiology. Where to apply Website https
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images via Unsplash Qualifications requirements A completed Norwegian doctoral degree or a doctoral degree recognized as equivalent to a Norwegian PhD in runology or related fields (Old Norse philology
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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management in hydrogen fuel cell- and electric battery-powered vehicles. Developing a functional software prototype simulating the physical behaviour of the energy management system. Implementing an IoT-AI
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interpret thermal images with researchers and receive retrofit advice from professionals, the project aims to also improve the ability of households to take action. By addressing barriers to retrofitting and
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by