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Field
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of Postdoctoral Researcher in Carbon Composites R & D. The Postdoctoral Researcher will lead the development, fabrication, and performance evaluation of carbon-carbon and carbon-metal composite materials within
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. Connections working at Ohio University More Jobs from This Employer https://main.hercjobs.org/jobs/21534103/postdoctoral-researcher-metal-composites-r-d Return to Search Results
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The Hadronic Matter Group of the Physics Department is seeking a Postdoctoral Research Associate to support its STFC-funded Electron Ion Collider R&D programme, which aims to develop new
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Area of research: Scientific / postdoctoral posts Starting date: 01.09.2025 Job description: The Max Delbrück Center for Molecular Medicine in the Helmholtz Association aims to transform tomorrow’s medicine through our discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg...
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global...
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About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable...
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Posting Information Posting Number FAE1430 Advertised Title Post-Doctoral R&D Entrepreneurship Fellow Campus Location Main Campus (Memphis, TN) Position Number L20975 Category Full-Time Faculty
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ecology, obtained in the last 3 years. Job requirements include i) ability to set up field experiments; ii) ability to identify woody and herbaceous species in the field; iii) ability to analyse data (in R
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."The fellowship offers a monthly stipend of R$ 12,000.00 for an initial period of 12 months, with the possibility of renewal for an additional 4 months. A 10% technical reserve is also provided. The position
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets