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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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for image classification and other domains against existing open source LLM (e.g., Llama 3, Phi-3), as well as develop new kinds of attacks, for example based on evolutionary algorithms. 2. Investigate
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packages to estimate variance components and/or in R; a desire to further develop advanced computational, modelling and algorithmic research skills, and utilize these developments into practical breeding
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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- 1 fte Introduction Global development finance is undergoing a profound transformation. Emerging donors—such as China, India, Brazil, South Africa, and Gulf states—now channel tens of billions
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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven
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predominantly analysed at the level of the housing unit or neighbourhood. Hardly any attention is paid to the structuring role of housing policies and housing systems. DWELLWELL therefore develops a political
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want to investigate how animal-free methods (New Approach Methodologies, NAMs) can become the standard in drug development? As a PhD student in Regulatory Science, you will evaluate regulatory systems
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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to the structuring role of housing policies and housing systems. DWELLWELL therefore develops a political-economic understanding of housing’s impact on health. Simply put, it addresses how housing policies and housing