Sort by
Refine Your Search
-
Employer
- University of Michigan
- University of Texas at Austin
- University of Colorado
- Zintellect
- University of California
- Harvard University
- University of Idaho
- University of Texas Rio Grande Valley
- Florida Atlantic University
- University of Alabama, Tuscaloosa
- University of Arkansas
- University of Cincinnati
- Carnegie Mellon University
- University of North Carolina at Charlotte
- University of Notre Dame
- Yale University
- Florida International University
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- SUNY University at Buffalo
- The University of Chicago
- American University
- Argonne
- Boston College
- Claremont McKenna College
- Dana-Farber Cancer Institute (DFCI)
- Georgia Southern University
- Indiana University
- Johns Hopkins Medicine - Laboratory of Human Biomimetics
- Northeastern University
- Oden Institute for Computational Engineering and Sciences
- University of Michigan - Ann Arbor
- University of Washington
- Virginia Tech
- Wayne State University
- 25 more »
- « less
-
Field
-
science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
-
models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
-
-reviewed scholarship, policy briefs, model provisions and institutional toolkits, coded legal datasets, and public-facing policy maps Job Description Primary Duties & Responsibilities: Information on being a
-
join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
-
/knowledge: Experience in lab or synchrotron x-ray reflectometry techniques and fitting data to existing models. Interest or experience in instrumentation development. Experience in condensed matter material
-
recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to investigate hydrologic and sediment processes. Works closely with USGS scientists and University
-
, you will gain significant knowledge and experience related to the modeling and analysis of weapons systems interactions with targets and the response and damage of targets to weapons effects. Where will
-
-based representations of faceted granular assemblies. Contribute to experimental design, data analysis, and/or computational modeling, depending on expertise. Prepare manuscripts for peer-reviewed
-
, and workforce development, in addition to advanced instrumentation, including recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to test new
-
of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow, you will have access to the Empire AI Alpha and Beta