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the properties of complex, biological liquids arise from liquid-liquid phase separation. The field of liquid-liquid phase or biomolecular condensates has been a growing field during the last two decades. With
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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PhD position in Metabolic microbiome modelling Research Group Medical Systems Biology, Institute of Experimental Medicine The University Medical Center Schleswig-Holstein is one of the largest
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in environmental sciences, circular economy, risk and safety assessment, and sustainable innovation to address complex challenges related to human and environmental health, climate change, and resource
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
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this goal. However, the computational expense of these models limits their use for generating forecasts, constraining the spatial resolution, level of physical complexity, and number of ensemble members
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are looking for a PhD candidate to research new adaptative architectures and foundation models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges
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, or toxicity. These issues stem from the rigid, hydrophobic, and synthetically challenging frameworks typical of complex NPs. In this project, we aim to overcome these limitations by using biocatalysis, a green
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existing team of four aquatic scientists. We seek an aquatic ecosystem modeller who integrates this expertise with real-world “wet boots” and experimental experience. The successful candidate will conduct