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denomination: post-graduates or academics who already have work experience and plan to do post-graduate studies or spend a period of research at a higher-education institution in Germany (2 to 6 months
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, and responsiveness across care settings. Within care homes, these issues are exacerbated by staff shortages, fragmented communication. As a result, despite the growing use of telehealth systems such as
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be of relevance to your application (e.g. certificates of employment, proof of placements) ##PAPIEREXEMPLAR## The application procedure occurs online through the DAAD portal. Applications
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
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training strategy for these machine-learning tools, making use of existing model simulations and actively selecting new simulations where needed. Build and test a model “emulator” that can quickly explore
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this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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temporal codes. To ensure that these advanced models do not become opaque “black boxes,” we will integrate post-hoc explainability tools such as SHAP values (SHapley Additive exPlanations) Thrust C
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing