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at conferences and peer-reviewed journals. Network with international research bodies, academic institutions, and industry. Follow and complete selected courses. Assist in teaching courses and co-supervision
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in luminescent materials. The model will incorporate a user-defined lattice structure with discrete electron- and hole-trapping sites based on defect distributions. Each site will be assigned
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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dynamic research environment with a broad range of state-of-the-art technologies from various departments, with excellent opportunities for networking and collaborations. RESPONSIBILITIES: Culture
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. The MIRACLE network will take an integrated, multidisciplinary and intersectoral approach to address the key unresolved questions on the molecular and cellular basis of acute leukemia MRD. MIRACLE is a Marie
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
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competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven German Universities of Excellence and provides outstanding working, research, and networking possibilities
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genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects