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Field
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focuses on a modular sensing system combining ultraviolet (UV), visible (VIS), and near-infrared (NIR) reflection spectroscopy, fluorescence spectroscopy, and Raman spectroscopy, supported by a co-optimized
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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of Coimbra III- Scientific supervision/coordination of the grant: Filipe João Boavida Mendonça Machado de Araújo, Bruno Miguel de Oliveira Sousa IV - Work Plan / Goals to be achieved: Title: Optimization
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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the Netherlands and the United States and will employ 11 PhD candidates, 1 EngD candidate and 4 postdoctoral researchers. You will closely collaborate with another PhD candidate developing optimization and
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modeling and optimization methods for the management of multi-energy platforms integrating electricity and heat systems within. The research aims at characterizing and valorizing the flexibility potential
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at developing and optimizing radionuclide therapy for prostate cancer and other malignancies. The doctoral training is carried out through participation in the various components of the projects, enabling
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-time operation. The project will focus on how AI and mathematical optimization can be combined to support sequential bidding decisions under uncertainty. The initial use case will consider a wind power
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University and involves close collaboration with Landsnet, Landsvirkjun, and international partners. The candidate will work at the intersection of power systems, energy modeling, optimization, and sustainable
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-V’s, the identification of optimal conditions for minimizing defects, and the optimization of strain distribution, paving the way for more stable and high-performance quantum devices. Structural