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Field
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transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential (SCMr) and Supply
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 16 hours ago
observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional
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Qualifications Experience with analysis of three-dimensional velocity fields Computer programming/scripting experience Experience with graph analysis and optimization methods Required License/Registration
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - Prof. Rohit Karnik and Prof. Zachary Smith, to work on experimental measurements, process design, and techno-economic analysis
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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21 Sep 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Industrial engineering Researcher Profile First Stage
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industry. You will continuously characterise NC batches for a shared sample bank, build a reference database and use AI-supported data analysis to compare qualities and identify deviations. The work is
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investigations of structural behavior, and data-driven approaches to structural design and analysis. The project will experimentally and computationally assess the thermomechanical and seismic behavior of cold
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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Quantum Readout of Physical Unclonable Functions; Use of PUFs in quantum-cryptographic protocols. Information The project focuses on the use of PUFs as a physical authentication credential, and in