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a Master's degree and a PhD in architecture, civil engineering, art history or technology history, or related fields You have experience of applying for and successfully obtaining third-party funding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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not reached vulnerable groups or created impact at scale. SMARTSCALE brings together scientists, local partners, and governments to learn from past experiences and design better ways to spread moisture
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scientific papers. You will present your research at international scientific conferences. You will be an active member of the research team and support the work of PhD candidates in the team. What do you have
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and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning, computer science, biochemistry
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analyses of ant-collected honeydew; and hyperspectral imaging with machine learning to remotely quantify aphid density and physiological state. The results will be field-validated in the context
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to contribute to one or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees