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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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in the field of network science, with applications to nutrition, biological networks, network medicine, and the science of science. The position involves developing and applying computational
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to uncover novel regulators and mechanisms of neuromodulation. Develop computational approaches to model spatiotemporally resolved signaling networks. Academic environment: Stanford University provides a
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of Science, Mathematics, Computer Science, or a closely related field. Demonstrated computational expertise (e.g., Python, network analysis, data wrangling). A research profile that engages with questions
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the Computing and AI Division at Los Alamos National Laboratory is seeking highly motivated Postdoctoral Research Associates to drive the research and development of novel sparse neural networks. This position is
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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teamwork. Strong background in quantum emitter-based defects, quantum networking, and quantum information science is preferred Experience with fiber device packaging is highly advantageous but not required
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computation and fusion, systems and software, or modeling multi-layer networks, and active participation in research projects and leading a group of highly motivated Ph.D. students is desired. Urban
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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-mentored research, teaching innovation, and public engagement, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit