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reliable, conscientious, and structured work, commitment, initiative, teamwork skills, scientific curiosity, and willingness to learn willingness to be mobile (especially with regard to the required
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of working Reliable and conscientious working style Fluent written and spoken English; German language skills are advantageous Please also apply if you do not yet have all the required skills and knowledge. We
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improving the reliability of the prediction of structural performance. This project aims to continue developing the stochastic inference framework by leveraging recent advances in artificial intelligence
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method reliably describes photoelectric (main) peaks, it often fails to accurately capture satellite positions, which require more advanced techniques such as the cumulant approach (GW+C). You will extend
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doctoral degree (PhD), it is essential to: be reliable contribute to teamwork work independently, systematically and structured In the evaluation of which candidate is best qualified, emphasis will be placed
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collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are communicative, flexible and able to work under pressure
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modeling is advantageous Good programming skills (e.g., Python) High degree of independence and willingness to show great commitment Very reliable and conscientious work style Fluent written and spoken
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modelling structure for representing the DACS-system in the FINE-Framework Detailed model of DAC technologies including their technical design and scaling effects Parameterization and design of the energy
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planes and enable the in-situ growth of active nanoparticles. These lattice planes inherently exhibit distinct properties, including defects, electronic structures, and a tendency to form nanoparticles
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys