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, the project employs a mixed methods approach, integrating actor-network mapping, interviews, extended case studies and participatory visual methods. By combining a global mapping of key actors, data flows
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project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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experiments. Develops research techniques and perform applications required for specific research projects. Conducts literature searches and summarize information in an appropriate format for a particular study
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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three
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, data collection and analysis, and utilizing collaboration tools and AI technologies. Why Apply? Gain exposure to world-class research, data analytics, and artificial intelligence applications within OP