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Field
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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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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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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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modeling Knowledge of image analysis using ImageJ or similar software Scientific writing skills For the conditions, requirements, details of the research project and other relevant data, please check the
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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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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of
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data, the consortium aims to develop a robust model that can better predict transplantation outcomes. This innovative approach will contribute to more reliable donor kidney selection, reduced rejection
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design automation tools for analog, RF and millimeter-wavelength IC design. It focuses on the automation of analog circuit design utilizing diffusion models and/or other state-of-the-art generative
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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