Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
information about the USAMRIID, please visit https://usamriid.health.mil/. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department
-
your official transcript before the appointment can start. One (1) Academic or Professional Recommendation - Applicants are required to provide contact information for at least one recommendation in
-
performed in collaboration with other computational and experimental teams within ARL and academia. Qualified candidates should be US Citizens and have received their PhD in Materials Science, Mechanical
-
solutions based on an examination of the problem presented and the current state of the art in various technologies. The successful applicant will have a PhD in Physics or a related discipline with an excess
-
atmospheric modeling. Research is conducted to provide the Army the technologies for information processing and presentation in the battle space, and for use of information to control systems and hardware used
-
: steven.c.hill32.civ@army.mil About CISD The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital
-
is to field instruments, and provide Army-relevant information, especially related to aerosol composition. Opportunities exist (1) in the characterization of ambient aerosols (at sites in Maryland, New
-
, technology, and analysis to enable full-spectrum operations. The opportunity available is in the Battlefield Environment Division of the Computational and Information Sciences Directorate (CISD). For further
-
, topological data analysis, and machine learning to understand data relationships generated by either our simulations or from experimentally acquired neuroimaging data. Applicants should have a strong
-
and computing performance by analyzing, simulating, and/or emulating network traffic, intrusions, false positives and negatives, (iii) data fusion, filtering, and secure aggregation in networks with