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have traditionally been created by humans – including visual art, literature, music, and film. As generative AI systems are becoming more sophisticated, they are redefining existing creative practices
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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understanding and development of innovation in the areas of music and performing arts, visual arts, digital arts, and cultural heritage. The successful candidate will undertake original research analysing
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research approach, including audio-visual participatory methods, in order to co-produce knowledge together with women in these communities. Training in these advanced methods will be provided by
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developers optimise operational strategies, anticipate future accessibility constraints, and support more resilient and cost-effective asset management in emerging offshore wind regions such as the North Sea
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volume/special journal issue, the content of which may overlap with the PhD dissertation. Full compliance with ERC open science and open access policies: all publications, data, and research outputs
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stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More information about the group is available at www.ep.mgt.tum.de/pur Application
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