Computer Science

Staff Scientist 1 in Natural Language Processing and Machine Learning

Bethesda, Maryland

POSITION INFORMATION:

The National Library of Medicine (NLM), National Center for Biotechnology Information (NCBI) is recruiting for a Staff Scientist 1. The position is in the Computational Biology Branch (CBB), which is a part of the Intramural Research Program (IRP). NLM is one of 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS).

Don E. Kash Postdoctoral Fellow in Science and Technology Policy

The George Mason University Schar School of Policy and Government invites applications for the Don E. Kash Postdoctoral Fellowship in Science and Technology Policy. We seek talented recent graduates with the potential to contribute to the School’s research and teaching capacity at the intersection of technology and policy. For this cycle, we are looking for postdoctoral applicants focusing on science, technology, society, law, and public policy.

Assistant Professor of Coastal Geological Processes (id:73304)

The School of Earth and Climate Sciences (ECS) seeks an individual who combines computational methods with observations to interpret and predict physical coastal processes and to inform coastal management policy decisions. Observations could include but are not limited to those from paleo reconstructions, geological/geophysical investigations, estuary and wetland morphometric measurements, coastal hydrodynamic evaluations, and/or remote sensing.

Flatiron Research Fellow, Center for Computational Biology

POSITION SUMMARY

Tremendous opportunities for discovery have emerged in the biological sciences, requiring the combined power of theory, data analysis, and simulation. Researchers are being confronted by an explosion of information from genome sequencing, gene expression profiling, proteomics, electron microscopy and tomography, and multiple high-resolution imaging modalities both dynamic and static.

Flatiron Research Fellow for the Study of Living Materials (CCB)

The Center for Computational Biology has both overarching and smaller-scale interests: Development of computational methods, for solving forward problems (evolutionary dynamics of biophysical systems) using cutting edge methods, and for data analysis of large-dimensional data (machine learning, inference, etc); Regulatory and genetic networks; Integrating multi-modal data (e.g.