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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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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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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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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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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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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 2 Feb 2026 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information
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can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ . Where to apply Website https://jobrxiv.org/job/university-of-copenhagen-27778-postdoc-in-spatial-analy
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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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