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tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
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focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
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objective of this device is to investigate the nonlinear wave physics associated with electron cyclotron heating waves used in tokamak operations. The objective of this PhD project is to experimentally
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the tomographic 3D printing methods. All parts of the object we want to produce are cured simultaneously. We are exploring the benefits of use two (or more) wavelength of light to achieve higher resolution
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. Responsibilities and qualifications The first objective of the project is to advance the field of continuous fiber-reinforced additive manufacturing through the development, testing, and optimization of composite 3D
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services. To address this challenge, the objective of this PhD project is to design, implement, and evaluate a control approach for HPPs, that ensures resilient grid service delivery under conditions of high
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systems. In particular, you will work on minimizing interference introduced by various hardware and channel limitations. The objective is to maximize the secure key rate and transmission distance, subject
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. This PhD project falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective of the PhD study is to explore and address research and design challenges that address the following (but
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and vectored into the marine pelagic food web. The project will have special emphasis on Pseudo-nitzschia, Calanus copepods, krill and capelin. The research focuses on three main objectives: i
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and about sustainability. Five objectives have been developed through which to achieve the aim, and each PhD project will respond to one of these objectives. PhD Topic Description The PhD project