Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Brookhaven Lab
- University of North Carolina at Chapel Hill
- University of Minnesota
- Rutgers University
- Yale University
- Stanford University
- University of Washington
- Argonne
- Oak Ridge National Laboratory
- The Ohio State University
- Harvard University
- Nature Careers
- Duke University
- Indiana University
- Loyola University
- Medical College of Wisconsin
- University of Virginia
- George Washington University
- Pennsylvania State University
- Princeton University
- Stony Brook University
- Texas A&M University
- The University of Arizona
- The University of Iowa
- University of Colorado
- Brookhaven National Laboratory
- Iowa State University
- New York University
- Purdue University
- Texas A&M AgriLife
- University of California, Los Angeles
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of North Texas at Dallas
- University of South Carolina
- University of Southern California
- Washington University in St. Louis
- Boston College
- Case Western Reserve University
- Cornell University
- East Carolina University
- Los Alamos National Laboratory
- Northeastern University
- South Dakota Mines
- University of California
- University of California Irvine
- University of California Los Angeles
- University of Central Florida
- University of Minnesota Twin Cities
- University of Nebraska Medical Center
- University of Oklahoma
- University of Oregon
- University of Texas at Arlington
- University of Utah
- Washington State University
- 45 more »
- « less
-
Field
-
magnetic resonance imaging using pulse sequence design, image reconstruction, and real-time image processing, for brain, body, and fetal applications. Responsibilities: The successful candidates will develop
-
exploring biophysical principles that regulate genomic processes. Applicants should have a PhD in molecular biophysics, biochemistry or a related discipline. The ability to work effectively in a team and
-
in accordance with the applicants’ interests and expertise, but will broadly be related to the neural mechanisms underlying the cognitive control of movement and non-motor processes (such as language
-
of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
-
will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
-
imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
-
PhD in Neuroscience, Psychology, or related fields, and an interest in the neural mechanisms underlying motivated behavioral decision-making. A quantitative background, experience in imaging
-
, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
-
microbiological testing at interfaces within the compounding device prototype, assessment of the long-term stability of the fluid, and translating these findings into recommendations for the system design. Who
-
grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional