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cum laude or equivalent) in Computer Science, Medical Informatics, or a closely related field Proven track record in leading complex computer science projects and mentoring early-career researchers
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strong interest in research. A proven track record of scientific work, such as prior publications, is beneficial. We particularly value a solid theoretical foundation in ๐บ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Masterโs degree in Computer Science, Biomedical Engineering, Data Science, or
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a brief track record (publications, projects, software, funding experience if applicable) to Michaela.Boxdoerfer@tum.de . We appreciate your interest in the Technical University of Munich and your
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. Application Please send your CV and a brief track record (publications, projects, software, funding experience if applicable) to Michaela.Boxdoerfer@tum.de . We appreciate your interest in the Technical
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-established and highly visible track record of the laboratory in the analysis of plant growth processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant
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. Interactive, adaptive learning technologies that integrate multimodal input (text, speech, gesture, eye-tracking) to provide personalized, responsive feedback. Human-AI co-adaptation: designing systems where
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CV and a brief track record (publications, projects, software, funding experience if applicable) to florian.hinterwimmer@tum.de . We appreciate your interest in the Technical University of Munich and
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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(typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming