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Vacancies PostDoc Position in Operator Theory & Complex/Numerical Analysis Key takeaways We hereby advertise a post-doc position in operator theory and complex analysis with connections to numerical
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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neuronal network function and how recovery can be enhanced, with the eventual goal to translate findings to the clinic. We are currently developing a stable, long-term, high-throughput experimental system
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occurs; and validating these approaches against community and industry benchmarks. The work combines network measurements, data science, and systems security, with an emphasis on reproducibility and real
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. Engin Topan. In high-mix, low-volume manufacturing, traditional planning often fails to capture workload variability, uncertainty, and the complex interaction between product features, labor availability
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department You will be embedded in the BIOS/Lab on a Chip group at the University of Twente, part of the Max Planck Center Twente for Complex Fluid Dynamics, the J.M. Burgers Research Center for Fluid
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. The role focuses on the design, assembly, and maintenance of complex laboratory set-ups, requiring strong expertise in electronics, instrumentation, and mechatronics. Responsibilities: Build, install, and
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performances the in-capsule organoids formation. Moreover, you will pioneer the annealing of the organoid-forming microgels into large microporous living materials that contain perfusable capillary-like networks
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. The responsible use of smart technology challenges managers to make complex people-related decisions. These include fostering human-machine learning (i.e., hybrid intelligence), involving employees in non-linear