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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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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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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 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
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the team. Managing own goals, objectives and KPIs. Works within the team with impact across teams. Manages own competencies and job requirements. Responsible for own capabilities and addresses any gaps in
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on academic qualifications, research potential, and their ability to contribute to both the scientific and industrial objectives of the project. We offer DTU is a leading technical university globally
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objective of this PhD position is to advance research in statistical signal processing and machine learning for microphone array data, with a focus on sensing under uncertainty. The successful candidate will