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Field
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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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Networks. Preferred Qualifications: ● Experience in quantum network experiments/devices. ● Experience in writing research proposals. ● Experience in supervising/guiding PhD and/or MS students
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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training in Mathematics, Physics, Data, and Computer Sciences; Experience in modeling, data analysis, and statistical methods of networks/complex systems is required. Experience with computational models
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at the University of Massachusetts Boston Integrated Sciences Complex (100 Morrissey Blvd, Boston, MA, 02125). This postdoctoral appointment is eligible for renewal pending availability of NIH funds (February 1st
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for a postdoctoral position in the group of Prof. William Glover at NYU Shanghai. A range of projects are available related to the excited-state dynamics of complex systems, including: (i) developing
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or quasi-mechanistic models Multi-Agent AI Systems for Scientific Discovery: Pioneer the development of multi-agent computational systems where specialized AI agents collaborate to solve complex genomic
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on Compact Manifolds with Novel Feedback Coupling and Complex Network Optimization." Specifically, the selected candidate will address Research Objective (RO) (2) Investigate the dynamical phenomena of orbital