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to maintain UK warfighting readiness in an increasingly dangerous and complex world. As MOD science and technology leaders, Dstl provides expert advice, analysis and capability across a wide range of
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applications for surface analysis, including the production of Digital Elevation Models (DEMs); Experience using AI/ML methods for data collection, analysis, and intelligence development; Experience developing
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research methods and research design. Demonstrated quantitative data-analysis skills (for example, in R or Stata). We are looking for someone with a demonstrated interest in studying the politics of violence
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile First Stage
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background: familiarity with dynamic optimization, cost‑benefit analysis or macroeconomic modelling is an advantage; Experience with programming (Python, R, MATLAB or similar); Ability to collaborate
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programming skills (Python; familiarity with deep learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical
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antecedents. Research topic: The PhD project integrates computational content analysis, discourse analysis, and cultural transfer methodologies to examine the discursive and performative dimensions of diverse
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experimental data acquisition system (LabView, etc.) and programming skills (Python, etc.) for data analysis would be a plus. Familiarity of cryogenics is not necessary. Intrinsic orientation for research and
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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