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Field
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Economics (more...) Management Science & Engineering Computer Science and
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Physics Industrial Engineering Statistics Mathematics Economics (more...) Management Science & Engineering Computer Science and
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Physics Industrial Engineering Statistics Mathematics Economics (more...) Management Science & Engineering Computer Science and
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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-analytical workflows, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore
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should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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transitions and requires an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans