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Posting Description POSTDOCTORAL ASSOCIATE, SUPPLY CHAIN MANAGEMENT (SCM), Center for Transportation & Logistics (CTL), to support the research and teaching activities related to streamline digital
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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 Researcher (R1) Positions Postdoc Positions Application Deadline 6 Oct 2026 - 20:00...
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06.08.2026, Academic staff The Supply Chain Management Research Group at the Center for Digital Transformation of the TUM School of Management, Campus Heilbronn, Prof. Dr. David Wuttke, invites
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software supply chain. The goal of ShiftLeft is to contribute to a new paradigm shift for securing software supply chains. As a postdoc in the project, you will focus on human-in-the-loop aspects of a self
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innovative project aimed at enhancing global and domestic supply chain resilience through the development of advanced supply chain analytical tools. The role will require ability to understand and integrate
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the division of Engineering Logistics, Department of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain
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of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain management. Our research addresses various aspects
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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Grade E.89 Posting Detail Information Position Summary The University at Buffalo School of Management’s Center for Supply Chain Analytics seeks a Postdoctoral Associate to join our team and develop a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
assigned as needed. The ILS Lab develops innovative methods at the intersection of operations research, artificial intelligence, and machine learning to solve complex supply chain, logistics, and