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Field
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administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and
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designing and conducting experiments with water and sediments Coding experience A willingness to experiment with new data collection methods A flair for written, graphical, and oral communication. And above
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sedimentology, stratigraphy and paleoclimate Statistics and/or coding experience A willingness to do fieldwork as well as work in a laboratory A flair for written, graphical and oral communication. And above all
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, graphical and oral communication. And above all, creativity and curiosity Due to the international character of our research, good command of spoken and written English is essential. We highly encourage
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researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal
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officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for
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for inclusive design and co-creation for children with ASD and ARFID using AI-empowered agents and games. This includes examining how these technological solutions systems can be adapted to support child-led
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, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character
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1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with
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Assessment Sciences (IRAS) as a PhD candidate in Exposomics, Machine Learning and AI! Your job In this PhD project, you will design and apply innovative computational approaches, such as graphical models