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Field
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Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas
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record direct work with or documented collaboration with research on sediments and modelling international research networks Personal qualifications and suitability will be emphasized. You will collaborate
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network, and will be given the opportunity to work with researchers across the world. For more information: Democracy, Children and Representation - Department of Education and Humanities Studies in
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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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. Graph Neural Networks (GNNs) are very successful for learning on KGs and solving the mentioned tasks, but also have great potential for incorporating symbolic knowledge due to strong connections between
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spoken English) . It is preferable that the candidate has (and can document): a strong academic track record experience in collection-based research (both physical and/or digital) teamwork and networking
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
into corporate sustainability strategies poses a significant barrier to achieving net-zero emissions goals. We are seeking a candidate with a focus on sustainability in finance to explore the following possible
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Fuzzing) in IoT (Wireless) networked systems; Research on IoT honeypot and threat intelligence. Qualification & Experience: PhD degree in Computer Science, Computer Engineering, or related field
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social