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industry, the vast majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than
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principally focus on costs, effects, economic evaluation and health technology assessment research to enhance the life of kidney transplants and improve the quality of life of patients. The candidate will
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technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
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between rural and urban areas more sustainable and better integrated. It pays particular attention to (spatially) aligning supply and demand and to (re)valuing landscape services, such as food production
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environment and to acquire valuable research experience. The project is funded by a bequest to the university and should include the archaeological record of the southeastern part of the province of Friesland
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), specifically within the Faculty of Science and Engineering (FSE), in the Groningen Institute for Evolutionary Life Sciences (GELIFES), and in collaboration with the interfaculty research centre BirdEyes Centre
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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
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. Project 2. Project title: Motor learning as a window into neurodegeneration: an interdisciplinary approach Supervisors Dr Defne Abur (YAG, Faculty of Arts, Assistant Professor of Speech and Speech
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of Law, department Law & Markets, is looking for a PhD researcher in Digitalisation, AI-technology and LGBTQ+ Rights (4,5 years, with 20% teaching tasks). Job description The selected candidate will be
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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data