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Field
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develop advanced optimization and analytics methods that improve routing, scheduling, and fleet utilization decisions while enhancing the robustness of operational schedules in the presence of uncertainty
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Job Description The Climate and Energy Policy Division at DTU's Department of Technology, Management and Economics (DTU Management) offers a postdoc position in the Energy Markets and Finance section
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Job Description This postdoc is suited to a researcher with a strong experimental background in chemical engineering who wants to build expertise in pyrolysis, biochar modification and its use as a
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
, 2026 Description This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD
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. Your Responsibilities • Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of
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Washington University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc): Applied Mathematics and Computational Science
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GTI - Postdoc Development and Implementation of an Integrated and Sustainable Architecture Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 3 Sep 2026 View
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theoretical background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and