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interactions across multiple spatial and temporal scales. Developing mathematical representations that faithfully preserve this structure is one of the central challenges in modern scientific computing
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, long development times, and the risk of toxicity against healthy tissue. At the heart of these challenges lies the TCR specificity problem: understanding how T-cell receptors (TCRs) recognize peptide
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qualifications: Must-haves: A completed PhD (or a PhD close to completion) in health economics, development economics, economics, econometrics, or a closely related discipline. Strong analytical and quantitative
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
economic and academic actors. Indeed, some European languages are threatened to be left aside from generative AI development due to the lack of resources to train language models. Furthermore, the project
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Empact vzw and Cultuurwerkplaats Tarwewijk, to develop a holistic understanding of the impacts of urban heat. By exploring how people experience, interpret, and respond to heat-related challenges
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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. To lower the carbon footprint of coating and paint curing, it would be preferable to develop photocatalysts and reagents that react with red or NIR light. Low-energy photocuring inherently provides
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will do Existing paint or coating curing technologies typically rely on heat or high-energy UV light. To lower the carbon footprint of coating and paint curing, it would be preferable to develop
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addresses these gaps. The research consists of: Develop a new dataset of observed damages and physical conditions based on insurance claims, and deriving improved, statistically robust damage functions