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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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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
immunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden
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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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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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Zone Description The New Mexico Lab-Embedded Entrepreneur Program (NM LEEP) is a two-year program tailored to help deep tech entrepreneurs bridge the gap between groundbreaking innovation and
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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