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technology development project in which UCC collaborates with two companies, Danalto and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband
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NMR studies of intact bacterial cells, cell walls, and extracellular matrices, as well as industrially relevant polymers and catalysts; Structural and compositional analysis of functional amyloids
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-on experience in nanoparticle synthesis, surface functionalization, and chelation chemistry 2. Proven analytical abilities, including proficiency in data analysis software and statistical methods 3
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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(Word, Excel, PowerPoint) and basic understanding of statistical analysis and programs. Conditions of Employment: · Applicants must be legally authorized to work in the United States without
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analysis. ● Prior work on kinase or other signaling-protein conformational dynamics, phosphorylation-driven activation, or allosteric regulation. ● Familiarity with machine learning and deep learning
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
., Nature 2026; Bregante et al., Cell Reports 2026). Earlier work also showed that tissue regeneration involves extensive epigenetic and transcriptional reprogramming as cells exit quiescence (Aloia et al
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At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with
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initiatives, including framework development, physics and statistical analysis, scholarly publications, conference presentations, student mentorship, and outreach activities. Opportunities to Contribute
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 23 hours ago
exploring how genomic selection approaches can identify plant cultivars with improved performance in space exploration environments. This research focuses on controlled-environment agriculture (CEA