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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
to knowledge production and dissemination. The wider RegNet community reflects these values and is comprised of diverse networks nurtured through deep and sustained engagement. Read more about RegNet: http
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an ambitious multi-year information technology plan with the initial focus on completing the integration of Michigan Medicine and the U-M Health Regional Network IT organizations. This will require harmonizing
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, law and business. We work at the intersections of the most complex global challenges in a constantly evolving and uncertain world. Our Vision: ??Transforming the world through people and ideas. Our
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern networks (social, biological, financial) are massive, heterogeneous, and
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work closely to maximize the net yield of each project and avoid separation or duplication of work in multiple isolated units. SPECIFIC RESPONSIBILITIES: Grow the department’s research faculty and
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The successful candidate will implement highly complex and broad-scale security controls to detect and prevent unauthorized access or changes to campus hardware, software, and network infrastructure utilizing
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political, social, and technological upheaval, this new school will support and inform scholarly and practical efforts to build a more effective government and solve complex policy challenges. The school will
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in accordance with the applicable national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks (https://op.europa.eu/s/z831
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, with clear expertise in magnetic imaging methods; experience with electron magnetic dichroism is a strong advantage. Proven ability to conduct independent research, critically interpret complex datasets
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health