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using GNN for prediction and design new algorithms with theoretical guarantees. This PhD project will be at the interface between statistics, logic and machine learning. Project supervisors: Egor V
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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20th June 2025 Languages English English English PhD Research Fellow in towards battery digitalization: a continuum physics-based model development Apply for this job See advertisement About the
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine