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21 Sep 2026 Job Information Organisation/Company Technical University of Munich (TUM) Department School of Social Sciences and Technology Research Field Computer science Economics Juridical sciences
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic
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15 Jul 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Software Engineering and Artificial Intelligence Research Field Computer science Researcher
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, materials science, polymer engineering, or a comparable field of study In-depth knowledge in the areas of polymer materials, polymer characterization, and data analysis Excellent computer skills and
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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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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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Description Τhe PhD candidate will be involved in the characterization of RF MEMS capacitive switches and related structures as well as in the assessment and analysis of the generated and existing data. Where
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17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Application
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main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured