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actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance
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distinctive community of multi-disciplinary and area specialists dedicated to research, education and engagement in the world’s most dynamic region. CAP is the global centre of excellence for understanding
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our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore
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Networks, and ICT Services & Applications. Your role SIGCOM group at SnT, University of Luxembourg, is currently seeking expressions of interest from outstanding PhD students (nearing completion) or early
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network with leading universities globally. The on-campus concept provides a structured approach focused on applied research in strategically important topics aligned with Schaeffler’s strategic roadmap
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program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social
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a role model and fostering an inclusive working culture. Interact with both academic and industrial collaborators in the project teams, and building internal & external contacts and networks Help with
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Strong communication and teamwork skills You may also have Network inference and analysis experienc Machine learning experience Track record of completed research projects (e.g., publications, tools
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fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of capillary flow, drop impact, and wetting in fibrous networks
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
community at ANU. The successful candidates will join teams working on projects that span core AI research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), focusing