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, computational biology, numerical analysis of partial differential equations (including ice and ocean dynamics), computational statistics and machine learning, as well as algorithm design and discrete
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control
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duties corresponding to up to 20 % of full-time employment, distributed throughout your study period, and result in a corresponding extension of the studies. Departmental duties usually consist of
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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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model (SE.LLMA), including aspects of transparency, opt-out mechanisms, and how compensation may be balanced or distributed among or to copyright holders, following and analysing aspects of the US