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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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modeling of dynamic systems. Experience with machine learning or AI methods applied to robotics (e.g. reinforcement learning for control, or data-driven modeling) is a plus, especially if applied in
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collaboration low-temperature scanning tunneling microscopy (STM) as well as atomic force microscopy (AFM) in the workgroup of Prof. Manuel Gruber (UDE), and first-principles electronic structure calculations in
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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structure is leading to fundamentally different crash dynamics, particularly in run-off-road collisions with existing roadside barriers. Recent tests show that conventional guardrails often fail to protect
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limitations of current EMG-based techniques, particularly in dynamic movement tasks. The PhD student will focus on the design, development, and validation of the HD-sEMG/ultrasound system. This includes
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, creating a diverse and dynamic 3D environment. We are looking for one or more enthusiastic and talented PhD candidates to conduct research in the general area of 6G wireless technologies along the following
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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hydrogels: From chemical structures to applicability (SusGel)” 9 PhD positions (doctoral researchers (f/m/d)). Job description Replacing synthetic polymers with polysaccharides from renewable sources will