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Field
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, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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science, computer programming or related field with a genuine passion for transport challenges and innovation. This eligibility requirement must be met no later than the time the employment decision is made
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, Computer Science, Human-Computer Interaction, CSCW, or a related field. Experience conducting empirical research in software engineering or knowledge-intensive organizations. Strong competence in qualitative and/or
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in antenna theory and design Experience in semiconductor device technology