Sort by
Refine Your Search
-
Listed
-
Employer
- Oak Ridge National Laboratory
- Carnegie Mellon University
- Loyola University
- Argonne
- Arizona State University
- Cornell University
- Rutgers University
- Texas A&M AgriLife
- The Ohio State University
- University of Colorado
- University of Nevada, Reno
- Florida International University
- Harvard University
- Northeastern University
- Rice University
- Stony Brook University
- The University of Iowa
- University of Central Florida
- University of Nebraska Medical Center
- University of North Carolina at Chapel Hill
- Brookhaven National Laboratory
- Brown University
- Case Western Reserve University
- Lehigh University
- Nature Careers
- New York University
- Princeton University
- Purdue University
- SUNY Polytechnic Institute
- Stanford University
- Texas A&M University
- Texas Christian University
- U.S. Department of Energy (DOE)
- University of California, Los Angeles
- University of California, Merced
- University of Minnesota
- University of Texas at Arlington
- University of Texas at Tyler
- 28 more »
- « less
-
Field
-
permeability assays, murine injury and colitis models, and host-microbe interactions. Key Responsibilities The fellow will: Design and conduct independent and collaborative experiments in gut barrier biology
-
starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
-
clustering, redshift-space distortions, weak/strong gravitational lensing, and artificial intelligence/machine learning (AI/ML). The observational focus is on optical sky surveys (DES, DESI, Roman, Rubin Obs
-
for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based
-
implement pioneering agentic AI workflows for autonomous materials characterization. We are building the next generation of AI-powered laboratories, where intelligent agents can formulate hypotheses, run
-
the form of SNS technical notes and memos, workshop and conference proceedings, and scientific journals. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
-
function of novel innate immune cells in vital tissues such as the lung and the brain. The Postdoctoral Associate will explore components of innate immunity in tissues, and how the interaction between immune
-
computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
-
, Chemical Engineering, Material Science and Engineering, or a very closely aligned field. Preferred Qualifications: Experience in studying fluid-solid interactions, reactive material reduction/oxidation
-
intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with