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Field
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simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban science, computational social science, or disruption modelling. About us The candidate will
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development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network
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Associate VP, DHIP - Strategic Partnerships & Network Growth Work Arrangement: Requisition Number: 274910 Regular or Temporary: Regular Location: Durham, NC, US, 27710 Personnel Area: DUKE
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intake flow distortion based on synchronous pressure and velocity measurements and computational datasets. The research will focus on the flow distortion that arises in a complex aero-engine intake
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technology enablers for the next-generation cellular paradigm, called 6G. The main focus will be on Radio Access Network (RAN) optimization mechanisms within the Open-RAN (O-RAN) framework to meet strict and
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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its first cohort of fully funded PhD positions at the intersection of artificial intelligence and the life sciences . Our network The Max Planck School of Biomedical AI (BMAI) brings together
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Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Re sponse Di versity knowledge to L everage E fficient E cosystem P reservationand
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systems at airports is very complex as it involvement of a lot of actors and assessment of different technology choices. There is limited research on planning of this infrastructure transition. There will
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to genetic risk. Key Responsibilities · Design and execute experiments to characterize single-cell and network-level activity in human cortical organoids and related human in vitro systems