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excursions. The PhD student will work on analysing the reliability of paleomagnetic records, deriving uncertainty estimates, and building time-dependent models of the paleomagnetic field evolution using a
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, biochemists and technicians. The multidisciplinary research in our group covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiological modelling
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. These are used beyond traditional storage applications, including AI applications. To design a full memory array and use it for AI applications, an effective ferroelectric device model is needed. Students will
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-transfer and reaction, which has to be investigated and further modelled within the framework of this thesis. Aims The ultimate goal is to develop a holistic yet simple kinetic model for solvent-assisted
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-transfer and reaction, which has to be investigated and further modelled within the framework of this thesis. Aims The ultimate goal is to develop a holistic yet simple kinetic model for solvent-assisted
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
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part of a new institute initiative called TropEcS "Modelling socio-economic dimensions across Tropical Coastal Ecosystems and the Earth System", which attempts to investigate how socio-economic processes
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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suitable experimental investigations and the use of numerical models, and furthermore, to carry out a prognosis of the remaining service life. Are you interested in FE modeling and numerical simulations? We