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Field
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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experimentation, isotopic measurements and modeling aspects taking advantage of a network of international collaboration and collaborations with the private sector. Importantly, this project is associated to a
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis
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Website: https://www.marchofdimes.org/our-work/research/prematurity-research-center/stanf...(link is external) How to Submit Application Materials: Email to Dr Yoel Sadovsky at [email protected](link sends
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: Immediately available Group or Departmental Website: https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological...(link is external) How to Submit Application Materials: Email your
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gain training in 2D/3D spatial multi-omics, single-cell spatial pharmacology, AI-enabled tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
development and analysis, thorough data analysis and writing reports. To establish internal partnerships with research colleague, actively develop external contacts and networks relevant to the project and for
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analysis of entanglement-supported classical communication, • Encoding protocols for entanglement-assisted classical communication, • Protocols for interleaving transmission in networks. Your qualifications
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networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted