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requirements Study level: Graduate research Student type: International students Study stage type: Future study Study area: Agricultural and veterinary sciences; Architecture, building, planning and design; Arts
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of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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international organisations, in the field of conflict management, prevention and resolution and early warning (as well as other areas of the emerging African peace and security architecture). Our students qualify
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within a Research Infrastructure? No Offer Description Topics In the Computer Systems Lab, we aim to hire multiple PhD students on national and international research projects in the domain of software and
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specifically naval architecture, generative AI is lagging behind. This is largely due to data scarcity in the maritime domain. Unlike media domains where vast datasets are readily available, ship design data is
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University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial
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3 Oct 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Architecture Research Field Architecture » Design Researcher Profile First Stage Researcher (R1) Country
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful