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Field
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials research. You
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that generate new biological understanding and clinically relevant information. This position is embedded within major research and innovation programs funded by the European Union and the German government and
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-assisted and agentic interfaces for scientific imaging workflows. Establish best practices for testing, documentation, reproducibility and sustainable scientific software. This position is embedded within
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and distinctions Friends and sponsors History of the University Organization and management Back University management Senate University Council Committees and commissions Equity Back Policies Service
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The position is embedded in the medical AI research environment of TUM University Hospital and the Department of Diagnostic and Interventional Radiology. Prof. Dr. Lisa Adams Professor of Radiology, Deputy
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of a new generation of networked technical assistance systems close to the ear ("hearables") and their embedding in life and care practice. This vision is realised conceptually and technologically
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 2 months ago
are completely in English. Students are required to write and defend their doctoral thesis in English. Knowledge of German is not required to be admitted, but German language courses are offered for free
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profound disciplinary specialisation. It is harmoniously embedded in the established structures for the promotion of young researchers at the University of Passau. It enables doctoral students to develop
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning