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opportunity to learn from our highly interdisciplinary, collaborative, and dynamic research group that meets regularly and includes leading scientists (and other fellows) with expertise in several disciplines
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work and placements. Collaboration & Networking (10%): Build and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects
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, or privacy-preserving machine learning. Track record of working in multidisciplinary teams or collaborating with public sector/industry partners. Modes of Work Positions that are eligible for hybrid or mobile
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computational approaches to digital education data. The position is funded through a collaborative project between the Hector Research Institute of Education Sciences and Psychology and the Max Planck Institute
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Applications You will collaborate with FDA staff to design and develop pilot applications and proof-of-concept tools. These activities will aim at investigating how automation, machine learning, and advanced
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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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activities that support RMIT's research strategy and help address a growing sustainability challenge in the energy and mobility sectors. Working independently and collaboratively, you will apply your expertise
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development activities that support RMIT’s research strategy and help address a growing sustainability challenge in the energy and mobility sectors. Working independently and collaboratively, you will apply
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St Lucia location About This Opportunity Join a collaborative and impact-driven research environment and contribute to an Australian Research Council funded project investigating supramolecular
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and machine learning algorithms to analyse and interpret the acquired data. The successful candidate will work primarily with Dr Qimei Zhang in the Department of Engineering at the Nottingham Trent