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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Position in Reversible Programming for Energy
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from New York University, USA. The ideal candidate will have an excellent knowledge of cyber security and must hold a PhD degree or have submitted a PhD thesis. Responsibilities of the Position
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and must hold a PhD degree. Responsibilities of the Position: Research Conduct world class research in systems security and privacy. Write research articles and publish work in top-tier conferences
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-month research assistant position as part of the 3D VOLT project, where we are developing biomass-derived supercapacitors for IoT applications. We are currently in the pre-startup phase, funded by ERC
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innovative teaching across undergraduate and postgraduate programmes. Supervise and mentor PhD students, postdoctoral researchers and academic colleagues. Play a leading role in fostering an inclusive
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development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial intelligence, machine learning, and digital
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pioneering research, strategic partnerships and industry collaboration. Reporting to the Dean and working across the Cisco-La Trobe Centre for AI and IoT, Innovation Central Melbourne and a broad network
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medicine, nursing care, and daily life support; development of autonomous robots for marine, space, and disaster environments; smart agriculture; and IoT systems. It serves as a core pillar of the
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the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with large-scale facilities such as MAX IV, ESS
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and natural history. This role is part of the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with