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resources and sustainable development; petrology, mineralogy and tectonics; paleobiology, and wind energy. By investigating the history of Earth, we understand how our planet has developed over time and how
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engineering programs and master's programs. More information is available on our website . This PhD project focuses on the development of plasmon-driven photoelectrocatalytic platforms for proton-coupled
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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designed through technical, organizational, and knowledge-based interventions. The research will also contribute to the development of knowledge related to Work-Integrated Learning in relation
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of experimental work Identification and publication of the results Scientific collaboration within and outside the group Communication of the results Development of the methods You will be given extensive creative
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14 DCs in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL home page at https://cordis.europa.eu/project/id/101226229 . The part of the project
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usable for real-world code. The second project is centered around memory safety and techniques for memory-safe programming. Memory bugs are extremely costly in development and create security holes in
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the following requirements: The definition of fairness implemented in the designed SNA methods must refer to the related sociological literature. Method development must be based on advanced combinatorial