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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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, microstructure generation and machine learning based materials modelling Communicate your research by presenting your results in scientific journals and at international conferences The position generally also
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multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
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/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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will be based at the Department of Applied Animal Science and Welfare (THV) at the Swedish University of Agricultural Sciences (SLU) in Uppsala. Practical experiments will take place at the SLU Lövsta
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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sciences. Subject area The Department of Zoology at Stockholm University invites applications for a four-year PhD position based at SciLifeLab, in the research group of Assistant Professor Lisandro Milocco
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context