1,750 structural-engineering-"https:" "https:" "https:" "https:" "https:" "Washington University in St" positions in Germany
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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science, mathematics, engineering, or the natural sciences, preferably with a completed PhD Proven AI experience through publications at top-tier conferences such as NeurIPS, ICLR, ICML, or SC You have experience as a
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Karlsruhe Institute of Technology, Physics Position ID: Karlsruhe Institute of Technology-Physics-POSTDOC [#30953] Position Title: Position Type: Postdoctoral Position Location: Karlsruhe, Baden
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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24 Feb 2026 Job Information Organisation/Company Hochschule Niederrhein Department Textile and Clothing Technology Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions
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electrochemical and photoelectrochemical methods, ideally for investigating catalysts, and in-depth expertise in electrochemistry. You're experienced in characterizing the band structures of semiconductors. You
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
the master's degree program in biomedical engineering. In addition, research-oriented teaching formats, elective courses, and structured support for young researchers are intended. Prerequisites for application
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Your Job: Many technologically important material properties are closely related to disorder and short-range structural correlations. Diffuse scattering observed in a diffraction experiment on
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Your Job: In the Vi(MA)²C project, we are building a lab-on-chip system where structured “microbial arenas” are created and manipulated in real time. Microbes and tailor-made microgels are observed
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without