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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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. The project will combine field measurements and laboratory analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron
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of aluminium-rich acid sulfate waters. The student will conduct fieldwork at both acid sulfate soil and acid mine drainage sites, gaining experience in sampling, preservation, and in-situ analysis of both
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behavioral outcomes (e.g., behavior change, social action). The PhD candidate will primarily conduct quantitative research, including the design and analysis of survey and experimental studies. The PhD will be
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., behavior change, social action). The PhD candidate will primarily conduct quantitative research, including the design and analysis of survey and experimental studies. The PhD will be based in
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institutions (ca. 50:50). Hands-on experience will span battery manufacturing, electrochemical analysis, nanoparticle synthesis, surface chemistry, and safety testing (e.g., ARC). Funding notes: The candidate
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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount