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School of Business , where you will receive extensive training in theory and methods by taking PhD-level courses. The course load amounts to 36 ECTS, equivalent to 6 full courses. The course program will
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K
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guidelines for high-performance materials to meet industrial needs. A hybrid numerical and data-driven method will be exploited in this project to systematically integrate natural design principles
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dedicated to the study of all aspects of concrete. Our research interests range from the material to the structural level and are based on theoretical, numerical, and experimental investigations. The PhD
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numerical and data-driven method will be exploited in this project to systematically integrate natural design principles into the development of bioinspired materials. Particularly, artificial intelligence
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and evaluation of methods that leverage multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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the research profile of the University of Bremen. Rooted in computer science, Minds, Media, Machines connects researchers from eight faculties of the university with numerous internal and external partners