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Field
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My research focuses on the theory of strongly correlated phenomena in cold atomic gases and electron systems. Particular topics of interest include low-dimensional quantum systems, superconductivity
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
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architectural elements such as residual units and attention mechanisms on the training dynamics and performance of neural networks. -- Develop and test new architectural modifications aimed at enhancing feature
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conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in
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. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
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. The position is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
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presentation of work are expected. TEACHING Participation in instruction in the candidate’s area of expertise. SERVICE TO THE UNIVERSITY, SCHOOL, AND PUBLIC Participation in appropriate faculty activities (e.g
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will research solutions to tackle these issues and improve wireless performance and efficiency together with the members of Software-Defined Radio team in IDLab. You will enhance WiFi design in view