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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
interfaces. Topics of interest include: Planar and geometric graph algorithms Approximation and parameterized algorithms Clustering, embeddings, and structural graph theory Computational complexity and
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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. About us The research of Professor Germann’s fluid dynamics group focuses on the thermomechanical and functional properties of materials being of industrial relevance. The ultimate aim is to design and
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spectroscopy to tackle challenges in photophysics and photochemistry as well as in material sciences. (https://www.ch.nat.tum.de/dynspec/startseite/). We work with (time-resolved) fluorescence, excitation and
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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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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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16.10.2025, Wissenschaftliches Personal We are seeking candidates for a fully funded PhD position (TVL E13) to work on cutting-edge research in safe task completion for humanoid robots 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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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C