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Field
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Within the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Action (MSCA), University of Copenhagen is offering one PhD position for a Doctoral
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spanning artificial intelligence, circuit design, computer architecture, and embedded systems engineering. Where to apply Website https://www.academictransfer.com/en/jobs/362502/phd-on-emulation-framework
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Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will work on the "TWIN-X: Multimodal Digital TWINs with
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Requirements (written in English) - mandatory; iii) Up to five publications relevant for the objectives of the Work Plan - mandatory; iv) Reference letter(s) (maximum 2) – optional; iv) Digital copies
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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The revolutionary introduction of EUV lithography was the culmination of several decades of collaborative work between industry and science – a Project Apollo of the digital age. The short, 13.5-nm EUV wavelength
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at the department for the fabrication of such constructs are: Additive manufacturing technologies for building functional 3D scaffolds, such as 3D fiber deposition, bioprinting, and digital light processing. Advanced
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” at ISS, ISS’ junior scholar seminars, and the national research school on “Digitalization, Culture and Society .” Thus, the position offers excellent opportunities for academic development, research
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
16 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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longitudinal within-person models, discrete-time survival analysis, and/or explainable machine learning. Each of the three work packages is designed to result in one publication, together constituting a