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Field
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optimization Experience with Computational Fluid Dynamics is beneficial Experience with laboratory automation and flow platforms Capable of conducting independent research while effectively collaborating in a
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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optimization problem formulations & solution techniques: convex optimization, dynamic programming, NLP, MILP and MINLP. Decomposition and relaxation techniques to tackle computational problems in distribution
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-efficient hardware design for next-generation aerial robotics. The selected candidate will play a central role in designing lightweight, energy-optimized electronics that enable long-endurance, power
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of the School of Electrical and Electronic Engineering in the areas of control and optimization, sensing and information processing, machine learning, cyber physical systems, robotics and automation, power
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in at least one of the following: optimization, PDEs, optimal control, numerical analysis/scientific computing, or machine learning for differential equations and control. Evidence of research
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Researcher (R3) Country Morocco Application Deadline 1 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer