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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 20 days ago
(e.g., first-author papers, strong project results). German is a bonus LanguagesENGLISHLevelExcellent Additional Information Benefits Close collaboration with other AutoPiX PhD students, regular joint
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. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of
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DoS: Professor Sarah Boulton 2nd Supervisor: Dr Martin Stokes 3rd Supervisor: Dr Michael Whitworth, AECOM 4th Supervisor: Dr Joshua Jones, AECOM Applications are invited for a 3.5 years PhD
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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generated in the scattering experiments. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are currently looking for a PhD student to join our team and help us make exciting new
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systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC infrastructure
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Process Mining? In this project we aim to transform the way we analyze and visualize complex processes. Information The field of process mining, a branch of business process management, revolves around
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vessels and ship systems. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and
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posts,PHD Thesis Starting date: 30.10.2025 Job description: DESY Foundation models are multi-dataset and multi-task machine learning methods that once pre-trained can be fine-tuned for a large variety of
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in