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their validation, how effectively they generalize and extrapolate knowledge, and how might they be improved through transfer learning. You will be supervised along your efforts by Prof. Christof Devriendt
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algorithms, AI-driven applications and generative AI, exploring how legal mechanisms can prevent and remedy systemic biases that adversely impact LGBTQ+ individuals and which legal routes are available
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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systems. Remuneration is 100% TVL E13 according to the German public sector rates A PhD Position is available at the Chair of Algorithms and Complexity. The PhD candidate is supervised by Prof. Harald Räcke
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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remote sensing imagery (e.g. roof material and condition, wall materials, type of building) Generating results from these algorithms for areas requested by our industry partner Documenting and packaging
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mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
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must have (or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, Master of