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of the first generation of foundation models that are capable of transfer across conditions and tasks. This opened entirely new ways to solve domain-specific problems by training transferable models and adapting
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside
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team! Recent breakthroughs in Artificial Intelligence resulted in the emergence of the first generation of foundation models that are capable of transfer across conditions and tasks. This opened entirely
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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Energy Districts through citizen-centered socio-technical models for upscaling of the heat transition – seeks to tackle this challenge by involving key stakeholders (citizen groups, municipalities, housing
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controlled release. Using a combination of hydrological modelling and performance-based design, the project will develop and test prototypes of nature-based interventions. These prototypes will generate
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
physiological conditions. • Examine their performance in 2D and 3D systems, including chemical and genetic disease models, multi-cultures and organ-on-a-chip devices. • Investigate the biodistribution as
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institutions. Scientists from all over the world encounter excellent conditions for their work in their own research field and in interdisciplinary networks alike. The BMC is located on the Martinsried Campus
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we