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: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey
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integrate relevant metadata into the bridgehead. Based on this, an HTTP REST interface will be developed that allows authorized clients to query information in a structured and standards-compliant way
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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the mechanisms underlying yield decline in continuous wheat systems. Your tasks: Assist with greenhouse experiments using rhizobox systems to study wheat root development Conduct experiments under different crop
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are at an early stage of their academic career. The Max Planck Postdoc Program aims to attract the world’s most talented postdocs to the Max Planck Society and supports them in their further career development
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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Your Job: Contribute to the design, implementation, and documentation of software solutions for the planning and operation of integrated energy systems Contribute to the development and maintenance
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. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall
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models (LLMs) have become significantly more difficult to detect, as a poisoned parameter update is harder to recognise than a poisoned dataset. Therefore, several methods have been developed recently to