3,140 evolution "https:" "https:" "https:" "OsloMet storbyuniversitetet" PhD positions
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Cranfield is an exclusively postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading or internationally excellent in its quality....
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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(department “Geophysics”), we are looking for a: Reference Number 11003 In the research group "Magnetotellurics", we have been working for several years on the further development of the high-frequency Radio
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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partner AquaBattery (https://aquabattery.com ). The research team is complemented with another PhD student working on the development of bipolar membranes for enhanced water splitting and recombination
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offers an exciting opportunity to apply advanced organic synthesis and molecular design to the development of next-generation radiotheranostics. Where to apply Website https://www.sckcen.be/en/thesis-and
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/development-clinical-micr… Work Location(s) Number of offers available1Company/InstituteSCK CENCountryBelgiumState/ProvinceAntwerpCityMolPostal Code2400StreetBoeretang 190 Contact City Mol Website https
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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Footprint (PEF) regulations at European level, including the development of PEF Category Rules (PEFCR) for space. About the host organization Technische Universität Dresden (TUD) is one of the largest