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professionally stimulating working environment including a comprehensive network of international collaborators. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual
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The Overdose Prevention Engagement Network (OPEN) at the University of Michigan is recruiting an outstanding early-career research investigator to join a multi-disciplinary team to conduct high-impact
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. The fellowship period is 3 years. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
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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academic, clinical, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in
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of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network
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programmes of young researchers. Who can apply? Very well-qualified doctoral candidates and postdocs who completed their doctoral degree no longer than 12 years before this call for applications. What can be
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(or individuals) the applicant is particularly interested in collaborating with. ▪ Applicants should follow the detailed guidelines at https://jobregister.aas.org/postdoc-application-guidelines , except that a list
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infrastructure, mobility, and socio-economic networks influence malaria transmission across border communities; and (iii) Collaborate with public health authorities and community partners to apply findings
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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis