Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Oak Ridge National Laboratory
- Nature Careers
- Harvard University
- Argonne
- Villanova University
- Stanford University
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Washington
- Washington University in St. Louis
- Auburn University
- Brookhaven National Laboratory
- Columbia University
- Lawrence Berkeley National Laboratory
- National Renewable Energy Laboratory NREL
- Northeastern University
- Rutgers University
- Sandia National Laboratories
- Texas A&M University
- University of Central Florida
- University of Minnesota
- University of Utah
- 12 more »
- « less
-
Field
-
interests, you will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays
-
of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
-
foundations of economic decision-making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms
-
parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
-
. Qualifications: Familiarity with machine learning interatomic potentials, CPU and GPU parallelization, knowledge of LAMMPS and molecular dynamics, experience with first principles calculations of dielectric and
-
respectful workplace – in how we treat one another, work together, and measure success. Required Qualifications: PhD in Nuclear engineering, computer science, applied mathematics, or a related field completed
-
conferences and peer-reviewed journals. Minimum Qualifications: • PhD in Mechanical Engineering, Aerospace Engineering, or a related field • Strong background in fluid dynamics, thermodynamics, heat transfer
-
commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
-
-flows. Basic Qualifications: PhD in mathematics, computer science, engineering, or related field earned within the last 5 years. Preferred Qualifications: Experience with mesh generation/CFD applications
-
Research Scientist, we are seeking a candidate with an MD or PhD with a minimum of two years of post degree research experience in immunology, biochemistry, biotechnology, bioinformatics, microbiology or a