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Institute of Environmental Sciences (CML) and will work closely with partners in the DiversEAFy project. The research combines expertise in industrial ecology, material flow analysis, life cycle assessment
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- PDF) Download Additional Information Benefits - The opportunity to work in an interdisciplinary research team combining molecular biology, genomics, bioinformatics, and data analysis. - Participation in
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candidate to carry out the following functions: Characterize by time resolved THz spectroscopy (TRTS) and THz time domain spectroscopy (THz-TDS) semiconductor samples. Lead the analysis of data and the
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equally qualified applicants, women will receive preferential consideration. For the application please use the online form on the homepage: http://www.unileoben.ac.at/jobs  ; Where to apply Website
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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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Additional Information Work Location(s) Number of offers available1Company/InstituteNational Institute of Research and InnovationCountryLatviaCityRigaGeofield Contact City Riga Website http://www.niri.lv
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critical thinking, problem solving, and an ability to learn new concepts or methods A willingness to work with quantitative evidence and develop skills in statistical analysis and reproducible research A
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skills Evidence of critical thinking, problem solving, and an ability to learn new concepts or methods A willingness to work with quantitative evidence and develop skills in statistical analysis and