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Field
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or quantitative data analysis is a plus. You are interested in developing and applying novel technologies and are willing to learn and work across disciplinary boundaries. You collaborate with
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, including pipetting, cell culture, and molecular biology techniques, or a willingness to acquire these skills; - a proactive, independent, and collaborative working style. Experience with organ perfusion
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machine learning for audio and acoustics - Research in experimental techniques in acoustic -- - Investigación en procesamiento de señales y aprendizaje automático aplicados al audio y la acústica
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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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Application deadline: 29 October by 23.59 o’clock Doctoral programme: PhD in Management and Organisation Apply:https://hanken.rekrytointi.com/paikat/index.php?o=A_LOJ&list=1&lang=en&rspvt
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well as governance challenges and barriers for achieving healthy coastal environments will be identified. Within this project, the PhD student will be involved in collaboration with stakeholders in both the water and
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(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
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capacities for dialogue, disagreement, collaboration, and peaceful conflict engagement in diverse and often polarized environments. A central component of the PhD project will be the comparative mapping
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? No Offer Description In this unique opportunity as a PHD candidate, you will be conducting applied research in the Research Centre of Hotelschool The Hague in close collaboration with our Lector
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for a doctoral researcher to study how generative AI is changing learning, expertise and relationships at work. The PhD is a four year project that is part of EMANAIRE (Empowering Human Agency in AI