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complex systems. Development and application of theoretical tools that combine experimental data and atomistic computer simulations to provide a comprehensive picture that is difficult to achieve through
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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement
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are taught in English.For detailed information on the individual projects and their specific requirements, please visit our website: https://oc10.meduniwien.ac.at/open-phd-positions.Closing date: 30.11.2025
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advantage Experience in radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is
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informatics, medical imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics
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-stack data analysis systems and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
cycles. You will contribute to the design, construction, and operation of an upscaled SMTES prototype (20-foot container scale) to investigate realistic thermal behavior, temperature stratification, and
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to apply Website https://jobrxiv.org/job/phd-position-in-butterfly-evolution-at-high-elevations/… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteBiology
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Low maintenance reliable main bearings for large wind turbines Offshore Wind CDT PhD Research Project Competition Funded UK Students Prof R Dwyer-Joyce, Dr Thawhid Khan, Mr Wooyong Song, Dr Siren