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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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for a fully funded PhD position to join the ERC Starting Grant HyperFMOF project (ref. 101163095), hosted at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The HyperFMOF project focuses
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subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/ . DEPARTMENT OF CONSTRUCTION MANAGEMENT AND INTELLIGENCE Professor in Construction Automation
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, exploiting controlled electron–matter interactions to locally synthesize, deposit, transform, restructure, functionalise and fabricate materials and nanoscale structures. Particular emphasis will be placed
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 1 day ago
professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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English speaking and scientific writing Where to apply Website https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/application-f… Requirements Research FieldPhysicsEducation LevelMaster Degree
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, the candidate will benefit from expert supervision from research leaders in social science and IT, and from entering a PhD with a pre-existing structure. Finally, the candidate will benefit from being part of
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute to pioneering research at the interface of materials science
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information storage. However, most DNA storage systems remain passive: data are written, archived, and read. This PhD project will help pioneer a new generation of dynamic DNA data storage systems capable not
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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained