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salary and salary structure for the position in the Salary Overview for Recruitment - Scientific positions (VIP ). Please refer to the introductory section of the page and the section entitled “PhD Fellow
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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23 Sep 2026 Job Information Organisation/Company Fundación IMDEA Nanociencia Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 5
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Vienna. Within the Competence Unit Transportation Infrastructure Technologies, our research team, specialising in structural health monitoring, structural dynamics, and bridge engineering, works closely
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are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with
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Communication sciences Information science Engineering » Communication engineering Engineering » Electronic engineering Mathematics » Applied mathematics Mathematics » Probability theory Mathematics » Algorithms
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tissue reconstruction. The PhD candidate will work with multimodal datasets from biological tissues and engineered biomaterials and contribute to research on: quantitative 2D and 3D analysis of biological
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either on theoretical attack construction or single‑system evaluations, rather than on systematic, reproducible, and comparative empirical assessments across classes of AI decision engines. This PhD