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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
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authorities and communities in preparing for risks such as flooding, storm surges, and wildfires. Experience with qualitative research methods is essential, as the Preparedness Pathways model combines
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record. You have a demonstrably strong technical profile which is sufficient to conduct the tasks listed below. Specifically, we expect the following: You hold a PhD in in Family Sociology and/or
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the ELLIS network of excellence in AI. You will be embedded in a vibrant, international team of PhD students and postdoctoral researchers, with access to substantial GPU compute, real robots and rich
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research is embedded within the chair Bioprocess Engineering , and member of the Cellular Agriculture team , which is led by Prof. Rene Wijffels . Bioprocess Engineering teaches and develops innovative bio
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, interpretation, and scalability of Remote Sensing data. The successful candidate will contribute actively to research, education, and collaboration within a transdisciplinary environment. The research is embedded
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waste. Job description As nuclear energy is set to play an increasingly important role in the Netherlands' energy transition, there is a growing responsibility to safely manage radioactive waste in
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scholars, communication scholars, digital humanities and computer scientists. Experience with organising workshops, lecture series, and similar events. A PhD degree in Law, Political science, Information
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Challenge-Based Learning (CBL) environments. You will be embedded in the Department of Industrial Engineering & Innovation Sciences (IE&IS) and form the technical core of the CLARA consortium, which brings
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of Niger, as well as pilot interventions in Mali and Nigeria. Based at WUR and embedded in an international, inter-disciplinary consortium — spanning economists, soil scientists, agronomists, remote sensing