Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- AbbVie
- Duke University
- University of Houston Central Campus
- University of Texas at Austin
- New York University
- Oak Ridge National Laboratory
- Stanford University
- University of California Berkeley
- University of Massachusetts
- University of Minnesota
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oregon
- Virginia Tech
- 5 more »
- « less
-
Field
-
, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics
-
pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
-
of impact, safety, respect, integrity, and teamwork. This level of knowledge is typically achieved through a formal education in materials science, physics or related discipline at the PhD level or
-
Education and Experience Requirements : This level of knowledge is typically achieved through a formal education in Nuclear Engineering, Physics, or a related field at the PhD level with zero to five years
-
of value-added chemicals in cyanobacteria and microalgae. • Design and optimize heterotrophic cultivation methods, gene knockout procedures, and transesterification processes. • Collaborate
-
possess the skills and experience required to join our 2025 Postdoctoral Program. By submitting your resume / CV via the below link, you will be notified directly once the postdoctoral positions formally
-
goals. Responsibilities include: Developing software infrastructure to conduct online experiments Conducting large-scale online behavioral experiments with human participants Developing formal cognitive
-
the Zhivagui Lab. Our lab uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and
-
, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
-
: 10.1038/s41467-023-39984-3 Position Requirements This level of knowledge is typically achieved through a formal education in Physics, or a related field at the PhD level with zero to five years