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Field
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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. Please find more information here: https://www.iri-thesys.org/research/ . Course organisation The THESys Graduate Programme is designed to enable a maximum of flexibility in order to serve the individual
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, AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: Further details on each project can
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is