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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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application process, please visit the Graduate School's website: Doctoral education | University of Vaasa (uwasa.fi) Required: You have a master’s degree or a PhD in a relevant field. Strong proven interest in
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. The Office of Research oversees sponsored research administration, research development, and contract management across the University. Job Summary The job develops software to support the data acquisition
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literacy and skills See also https://euraxess.ec.europa.eu/europe/career-development/training-researchers/research-profiles-descriptors Selection process The applications will be considered individually, and
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-based materials and composite systems for space applications. The successful candidate will contribute to research focused on the design, synthesis, processing, characterization and performance assessment
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area networks (WAN), cloud networks, and other data communication networks. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122577 . Applicants must submit a
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a highly motivated and
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd