-
for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and
-
each theme across three critical dimensions: technology, data, and interventions. The qualified candidate will have a Ph.D. in a quantitative field (e.g., the social sciences, computer science
-
Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
-
, including publication in peer-reviewed journals. Multi-disciplinary skills to effectively bridge fields, including population ecology, movement ecology, computer science and geospatial statistics. Ability
-
Details Posted: 17-Jun-24 Location: Clinton, New York Salary: Open Categories: Academic/Faculty Social/Behavioral Sciences Internal Number: CF6440CD-C70C-4BCC-B4A898545282B977 The Women's and Gender