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Field
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Degree PhD Course location Hamburg Teaching language German English Languages Teaching is delivered in both English and German (tailored to the individual needs of the students). In agreement with
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flow theory or machine learning frameworks (e.g., PyTorch, TensorFlow). Strong written and oral communication skills in English. Personal characteristics To complete a doctoral degree (PhD), it is
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methods. Relevant questions include, but are not limited to, how such declarations are used by readers of scientific papers and popular communication of scientific results, how use depends on the status
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two main objectives: (i) establishing a theory–experiment feedback loop to identify the fundamental mechanisms governing multicellular self-organization, and (ii) developing a novel imaging platform
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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, and local communities, to co-create and accelerate the transition to a resilient and nature-inclusive future. DECISION will count on a broad group of experts, four fully funded PhDs candidates and one
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defined radios ▪ Prior knowledge of wireless communication systems (MIMO-OFDM, LTE, 5G-NR) ▪ Prior knowledge of information theory Our offer ▪ Access to state‑of‑the‑art lab facilities at the TUM ACES Lab
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from all world regions. A key methodological innovation is the large-scale application of advanced Large Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted
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Leeuwen and Yang (arXiv:2403.15292). As a PhD student on this project, you will: develop mathematical theory for non-linear inverse problems governed by wave equations; design and analyse numerical
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the Fermilab theory community. The LPC provides outstanding computing resources and software support personnel. The proximity of the CMS Tier-1 and the CMS Remote Operations Center at Fermilab allows critical