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theory concepts with new empirically derived models and new data science ideas. About NYUAD: New York University has established itself as a Global Network University, a multi-site, organically connected
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of strategic communication and leadership cults in contemporary autocracies. The projects are headed by Associate Professors Jakob Tolstrup (Aarhus University) and Alexander Baturo (Dublin City University
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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disciplines mutually inform and complement one another: evo-devo reveals how developmental networks evolved and identifies conserved components that can guide plant engineering, while synthetic biology provides
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communication. The course develops students’ understanding of organizational dynamics and their ability to navigate social networks, work in teams, interpret incentives, leverage collective intelligence, manage
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
trainee funding. High-impact publications: Join a track record of publications in Nature Biotechnology, Nature Communications, Science, PNAS, Cancer Discovery, Cancer Research, Cancer Immunology Research
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demonstratable outputs. An aptitude for both independent work and working collaboratively in a team. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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activities. Qualifications Required: Ph.D. in Electrical Engineering, Computer Science, or equivalent. Experience with research in communication networks and/or machine learning. Prefer experience Experience