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. Proficiency with CST Studio Suite, HFSS, and related full-wave EM simulation workflows. Competence in MATLAB or Python for numerical modelling, data analysis, and optimisation. Ability to conduct experimental
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, OpenPNM, LAMMPS, or equivalent) and/or experimental design and data analysis You demonstrate strong teamwork, communication, and independent research skills You are proficient in English (spoken and written
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and indexing) Carrying out data collection, data management and analysis (under supervision) Performing research tasks within the area of classical archaeology, e.g. literature searches and image
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at the University. Youmayobtainfurther professional information from Associate Professor Jakob Zinck Thellufsen, +45 9356 2359, jakobzt@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on
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working in interdisciplinary teams. The ability to work independently and take responsibility for experimental planning, execution, and data analysis. Strong organizational skills and attention to detail
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute
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laboratory imaging techniques on PV modules to large scale field inspections. You will contribute to the development of daylight electroluminescence and photoluminescence inspections together with data-driven
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will be working primarily with air quality measurements and analysis of air quality data. The position will focus on indoor and outdoor air quality in relation to children and health. You will be
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risk assessment of chemicals . Your tasks will include: Conducting literature searches and compiling findings into structured reports. Extracting and organizing relevant data from literature sources