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analytical models for labour market adaptivity Design and develop a scenario-based serious game to support future-making and stakeholder engagement Contribute to high-quality scientific publications and
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of a broader analytical framework for studying gendered traumascapes in heritage and tourism contexts. Job description As a PhD candidate, you will conduct independent academic research within
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degree in Biomedical Sciences, Molecular Biology, Physiology, or a related field. Affinity with stem cell and cardiac biology – You have experience with, or a strong desire to learn, hiPSC culture
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strong analytical and mathematical skills; take part in ongoing educational activities, such as assisting in courses and guiding student theses at the BSc or MSc level; be an active participant in
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studies, media studies, anthropology, and/or related disciplines; Familiarity with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration
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curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills and to work together with colleagues and industry partners to work on the development of new
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for a talented, motivated and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired. Ability to work in an interdisciplinary team and interested in collaborating with
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studies, media studies, anthropology, and/or related disciplines; Familiarity with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration
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with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration skills and an ability to join interdisciplinary and intercultural academic
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint