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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis
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. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing
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and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems, with particular emphasis on smart mobility and urban transportation networks. In particular
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the start of the appointment. * Applicant must have demonstrated research experience in Quantum Information Science, Quantum Computing, and/or Quantum Networks. Preferred Qualifications: * Experience in
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de Rham" methods, the main feature of which is to reproduce subtle mathematical properties expressed by Hilbert complexes at the discrete level. The developments envisaged within the NEMESIS project
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position concerns a 2 years contract for the development of experiments on complex biomolecular
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About the Opportunity SUMMARY The Network Science Institute (NetSI) is hiring one Postdoctoral Research Associate to join the newly formed Complexity & Society Lab (the “&-Lab”). The &-Lab is an
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(7T fMRI, MR Spectroscopy), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics