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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms
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in quantum information and communication theory, as well as in quantum coding theory • Interest in theoretical work with high practical relevance • Motivation to demonstrate research results on a
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need strong coding skills, ideally in both modern C++ and Python, to design highly performant algorithms. Solid knowledge in the areas of logic synthesis, algorithmics, and optimization problems, as
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coding skills to design highly efficient algorithms. A focus in fabrication, and ideally interest (or even first lab experiences) in microfluidics is obviously a big advantage. Join our Team While we
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very
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creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills to design highly efficient algorithms. A focus in bio-chemistry or
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research