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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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optimized designs in actual resonant power converters using WBG semiconductors. The expected outcomes include a robust 3-D modelling framework, novel low-leakage magnetic layouts, and an advanced design
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of stochastic processes and/or optimization. Candidates should have experience with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both
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their power consumption, select the most appropriate options and dimension them optimally. This also supports the development of run-time control mechanisms maximizing the transceiver energy efficiency in
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under multiaxial torsion + tension/compression loading conditions, including: (1) Laser Powder Bed Fusion (LPBF) process investigation towards generic parameter optimization for various types of lattice
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, Research Group Musculoskeletal Rehabilitation, we are looking for a part-time doctoral assistant, who will collaborate on a project concerning optimization of the guidance of young (elite) athletes
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Engineering Science he/she will help unlock various types of dedicated know-how (e.g. machine learning, signal processing and data mining, optimization, decision support and operational research, knowledge
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often have high surface roughness and semi-attached particles, which is incompatible with a safe use of implants with optimal properties. In this PhD project, you will focus on three key objectives: (1
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Science Desirable skills/interests: Wireless communication, statistical signal processing, algorithm design, optimization and estimation theory, hands-on experience or interest in measurement/test equipment