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significant potential for adaptation to these challenging environments. Additionally, we have identified key gene families and their specific targets that can be enhanced through genome editing technologies
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the theoretical foundations of machine learning itself, leveraging tools from quantum information, statistical mechanics, and complexity theory to understand and enhance modern AI. Successful candidates will work
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the Netherlands and across Europe. The programme addresses the system-wide conditions required to enable a successful hydrogen transition, including policies, infrastructure, technology, safety, economic incentives
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the department and with external partners to enhance research outcomes. Candidate Criteria A doctoral degree or an equivalent foreign degree in chemistry, chemical engineering or hydrometallurgy. Research
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 4 hours ago
: Marine Biology Oceanography Coastal Engineering Marine Science Applied Coastal and Ocean Sciences Coastal and Wetland Studies Estuarine Science Marine Physiology and Genetics Fisheries Aquaculture Marine
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regulatory RNAs (e.g., PMIDs: 40279507, 39366968, 31019085); and (iii) investigating how epigenetic memory influences wound repair (e.g., PMID: 39468077) Type of scholarship The amount is tax free and it is
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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13 Mar 2026 Job Information Organisation/Company Utrecht University Research Field Chemistry » Heterogeneous catalysis Chemistry » Inorganic chemistry Engineering » Chemical engineering Researcher
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep