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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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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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researchers or more senior research positions. Successful applicants will join Princeton's Net-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https
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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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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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these developmental insights to innovate regenerative approaches for treating heart diseases in adults. The successful candidate will lead a research program to understand how chromatin remodeling complexes control
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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product design & development, investor strategies, financial projections, pricing strategy, pitch development, and more. For more information about NM LEEP Program, please visit https://nmleep.com