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for predictive policing and surveillance, as well as data mining and threat detection to name some of the most prominent uses. This position will enable you to develop top-notch research in the areas of AI and
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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, using cutting-edge single-cell genomics and AI. By developing non-invasive methods to detect and predict developmental errors, you will help transform how IVF embryos are assessed. Ultimately, your work
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an impact on climate via cloud formation. The MACS project aims to understand the role of mixotrophic protists in Antarctic C- and S-cycles. Such mechanistic understanding will help predict how changing ice
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will focus on applications in oncology and credit scoring (for default prediction). As a PhD candidate, you will join a collaborative team of two PhD candidates and two senior researchers, Dr. Juan Cai
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capable of predicting key performance indicators, including cell potential, gas purity, Faradaic efficiency and degradation behaviour. You will work closely with project partners across Europe to validate
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on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
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to provide reliable predictions and support effective decision-making. The aim of the PhD project is to address these gaps by developing theoretical and computational tools that combine game theory, graph
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-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
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, engineering plastics and biomedical materials. Growing focus on the use of artificial intelligence techniques to support and accelerate the experimental work, e.g. data interpretation and prediction