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, classical ecological theories and methods to mathematically model species interactions networks and communities across spatial scales. As part of the project, the student will extend these methods and make
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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, 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 many ways maps can be
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Physics Statistics Mathematics Economics (more...) Management Science & Engineering Computer Science and Electrical
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cancer using graph neural networks. Our current efforts extend this to additional cancers and modalities, such as multiplexed immunohistochemistry (mIHC), immunoflouresence, spatial transcriptomics and
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). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
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Type of award Studentship Managing department Department of Mathematics Value This fully-funded studentship includes: Tuition fees at home or international rate Annual maintenance stipend equivalent
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Master’s degree (or other equivalent experience). Suitable backgrounds for these PhD positions include, but are not limited to, power engineering, industrial engineering and operations research, mathematics
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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics