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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
underlying cancer disparities and drivers. Opportunities available to T32 Postdoctoral Fellows - Mentoring by faculty with extramurally funded cancer control research programs - Networking with other post
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
underlying cancer disparities and drivers. Opportunities available to T32 Postdoctoral Fellows - Mentoring by faculty with extramurally funded cancer control research programs - Networking with other post
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of foundations. You will work closely with academic staff, PhD candidates and project partners. Depending on the needs of the projects and your background, your activities may include: Conducting literature
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networks and their variants (e.g., spiking neural networks) You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready
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), governance mechanisms and incentives. The research will combine perspectives and methods from Supply chain risk management, Critical Infrastructure Resilience, Colloborative Governance, and Social Network
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academic fields, Ghent University is a logical choice for its staff and students. It is home to the BioRefine Cluster Europe (www.biorefine.eu ), a network of international research and development projects
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journals. For the PhD position: pursue a doctoral degree at TUM. For the postdoctoral position: contribute to research supervision and proposal development. Your Profile Master's degree (PhD position
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state-of-the-art interdisciplinary research building THINK (ruhr-uni-bochum.de/think), multiple externally funded research projects, and a strong international research network. Your tasks: Develop and
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nanophotonic devices and systems; (2) To provide project management including scheduling, team management, and reporting; (3) To present and publish the research results. Required Qualifications Requires a PhD
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machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position Requirements: The successful candidate is expected to: Build and evaluate chemical