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Field
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acquisition and large-scale validation on operational bridges and viaducts. Research group and company The PhD student will be working in the AIMS laboratory of the Signal Processing Systems (SPS) group within
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models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements of cyber-physical energy systems. Tasks The PhD student will
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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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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Here's a great opportunity! A PhD
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 1 month ago
Infrastructure? No Offer Description Doctoral School of Institute of Low Temperature and Structure Research of the Polish Academy of Sciences (DS of ILT&SR PAS) announces a special recruitment for a PhD student
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architectures. The two departments host an international community of researchers and PhD students and provide access to modern laboratories and research infrastructure. You will be part of an open and inclusive
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, maintenance, and operation of engineering systems in order to reduce the frequency and consequences of failure. Vision We are seeking a PhD student who is motivated to rethink how manufacturing systems
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science, landscape architecture, landscape engineering, urban and regional planning, property development and property law. The Faculty has 1300 students and 180 employees divided into five departments and
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, limiting the accuracy of conventional boundary layer modelling approaches. During the PhD, the student will curate an archive of high-fidelity simulation data spanning a range of representative application
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happens when these two ideas are unified under a single energy-aware framework. This PhD will develop principled methods for jointly optimising which data and which weights are updated during training