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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
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, the candidate should have experience in several of the following topics. Experimental skills in microstructural analysis Experimental skills in mechanical testing (destructive or nondestructive) Computational
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cellulose-based textiles. Your role and goals The doctoral researcher will be working in a project investigating metal cation coordination with cellulose for fiber functionalization The aim for the doctoral
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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open-minded person with: A master's degree in energy technology, mathematical programming (e.g., Python), modeling, and optimization. Experience in geographic information analysis is an advantage
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-class facilities for experimental studies of pyrometallurgical processes, as well as versatile material analysis and characterization equipment. In addition, we offer access to extensive digital tools
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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and intetnational collaborators Possibly carry out design, experiments, and/or data analysis on a specific research topic that you wish to personally pursue Your network and team You will work in the