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Field
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research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. The Faculty of Law of
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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discourse moments, as well as interviews reconstructing first-person experiences and social networks. The project scrutinizes the blurred boundaries and competing aims we now see between journalism, as a
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to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks
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of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable
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workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing
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of materials to close the CO2 cycle and ultimately allow societies to approach net zero emissions. The current PhD position is funded by the national centre of competence in research (NCCR Catalysis). Job
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, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full
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an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for four
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research methods highly and often adopt case study, field work methodology or social network analysis. The three-year PhD programme at CBS gives you the opportunity to conduct research under the supervision