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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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. Specifically, our Responsive Sensing and Analyticsteam is developing efficient and scalable algorithms to provide emergency services with the necessary safety-relevant information and analysis results based
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reducing waste, product failures and emissions. For this master’s thesis you will join our Competence Unit Complex Dynamical Systems , which focuses on the development and deployment of algorithms to control
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algorithms as well as deep learning workflows on GPU servers (use of Git, Docker, and PyTorch) Design, implementation, and evaluation of spatial proteomics and multiplex analyses for characterizing the tumor
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research skills and experience in economics and agent-based modelling, and an interest in empirical/computational/algorithmic game theory You are proficient in relevant programming languages such as Python
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); Agentic AI: Exploring multi-agent systems and their dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming
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dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and
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: The successful candidate must hold a completed diploma or master’s degree in mathematics Knowledge of and experience in computer algebra and algorithmic algebraic geometry International experience Enthusiasm
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in