Sort by
Refine Your Search
-
Listed
-
Employer
- Rutgers University
- Argonne
- Nature Careers
- Stanford University
- Cornell University
- New York University
- Northeastern University
- Medical College of Wisconsin
- National Renewable Energy Laboratory NREL
- Purdue University
- The Ohio State University
- University of Nebraska Medical Center
- Arizona State University
- Brookhaven Lab
- Duke University
- Embry-Riddle Aeronautical University
- Genentech
- Georgetown University
- Indiana University
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- Texas A&M University
- University of California
- University of Central Florida
- University of Miami
- University of North Carolina at Greensboro
- University of Oregon
- University of Texas at Dallas
- University of Virginia
- University of Washington
- William and Mary
- Zintellect
- 22 more »
- « less
-
Field
-
medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
-
developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
-
the computational science community. We empower researchers to tackle some of the most complex global challenges through our unique blend of supercomputing resources and computational science expertise. The ALCF is
-
will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control
-
are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a wide range of fields, including urban science, public
-
Engineering, Agronomy, Soil Science, Ecosystem Science or closely related field at the time of appointment. Proven experience in independently executing complex and high-responsibility assignments in support of
-
transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
-
optogenetic investigations of cognition-related hippocampal formation and related brain networks. ? Analysis of electrophysiologically-evoked responses to assess synaptic population changes