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project partners. Extend an in-house seakeeping solver based on a time-domain boundary element method and couple it with the interior-flow solvers. Investigate complex physics associated with the coupled
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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, interdisciplinary environments; experience coordinating complex workflows (e.g., between wet lab, proteomics and dry lab) and maintaining structured project documentation. The lab places strong emphasis on teamwork
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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background in organic synthesis and transition metal catalysis. The candidate must be familiar with organometallic chemistry and the synthesis of organometallic complexes. The candidate must be familiar with
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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. We emphasise interdisciplinary collaboration, offering the Postdoc
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-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous optimization of high-dimensional design spaces. Experience simulating hybrid