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for QUT's Doctor of Philosophy , including any English language requirements enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained) have completed a bachelor
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electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities, social sciences
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Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato: én måned Navn: jobbnorge.language Leverandør: .jobbnorge.no Databehandlingsansvarlig: Piwik PRO Formål: Samler anonym informasjon om
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assessment in clinical practice. The research is carried out in close collaboration with international partners in both industry and academia. Work is of experimental and theoretical nature and includes data
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12th May 2026 Languages English English English We are looking for a PhD Candidate in Acoustic Performance of Photovoltaic Systems in Noise Control Applications Apply for this job See advertisement
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will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed
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analysis Participation in administrative tasks of the institute Your Profile In-depth knowledge of transportation planning, road design and traffic data analysis Very good computer skills German and English
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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 4 hours ago
of Global Change and Transformation Processes, Energy Transition and Decarbonisation as well as Health and Life Sciences. The programme is affiliated to the Faculty of Environment and Natural Sciences
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling