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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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Special Instructions to Applicants A resume, a cover letter, and a sample of work are required for the application to be considered. Please include samples of work in your cover letter and copy and
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AND PROCESSES : Metals, Manufacturing and forming processes, Durability and degradation, corrosion, Fracture mechanics MODELING - SIMULATION : Data entry: digital representation of materials, behavior
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Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS) project which is based on an effective collaboration between LEM3, ICA, PIMM and CEA. The PhD candidate
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for data processing and analysis will be used. The fellow will also take part in modeling and simulation activities, as well as in the dissemination of results. Specific tasks include: A2. Data Collection
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
of soil samples at controlled temperatures and water contents in order to establish petrophysical relationships, - Integrate the observations acquired into a plant hydraulics model (SUREAU) to simulate
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26956 Mathematical Modeller (PhD/Postdoc) – DFG Emmy Noether Project “OpTBtreat” (m/f/d
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. • Design, implement, and train machine learning models for tasks such as object detection, recognition, and image segmentation. • Develop scalable training pipelines and optimize models for real-time or
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role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance