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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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the commercial biotech sector. The ideal candidate: The John Innes Centre is a world class institute and is looking to appoint an exceptional candidate with a PhD in natural product chemistry, metabolic biology
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demonstrators for satellite communication systems Education: Contribute in the teaching activities of the University's Cybersecurity Master program and supervise the scientific research of PhD/Master students
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colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field. • Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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: Present your research results at scientific conferences, journals and technology events Your profile A PhD degree (or equivalent) in Cybersecurity, Computer Science Experience in security research and/or
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interested in implementation science, cancer prevention/control, and community-engaged research. To apply or learn more, please contact: Heather M. Brandt, PhD Director, HPV Cancer Prevention Program Member
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Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) A rare opportunity to combine multimodal data analysis with hands
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. Publish results in peer-reviewed journals and present findings at international conferences Required Qualifications PhD in proteomics, analytical chemistry, physical chemistry, or a closely related
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis