Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Imperial College London
- University of Washington
- European Space Agency
- Forschungszentrum Jülich
- Medical College of Wisconsin
- Nature Careers
- The Ohio State University
- University of North Texas at Dallas
- Utrecht University
- Washington University in St. Louis
- AALTO UNIVERSITY
- Brookhaven Lab
- Erasmus University Rotterdam
- Florida International University
- George Washington University
- Heidelberg University
- Heriot Watt University
- ICN2
- Indiana University
- Los Alamos National Laboratory
- McGill University
- Northeastern University
- Oak Ridge National Laboratory
- Technical University of Denmark
- Texas A&M University
- The University of Iowa
- UNIVERSITY OF SYDNEY
- University of California, Merced
- University of Cincinnati
- University of Copenhagen
- University of Oklahoma
- University of Oxford
- University of South Carolina
- Washington State University
- 26 more »
- « less
-
Field
-
2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
-
process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
-
screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing
-
with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
-
McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
chemical processes in complex condensed-phase systems, e.g., aqueous solutions, semiconductor interfaces, and polymers. These complex condensed-phase systems will be treated using first-principles machine
-
closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
-
with ab initio methods. Proficiency in software such as VASP, Quantum ESPRESSO, Critic2 and Gibbs2. Experience in high-performance computing and parallel processing. Additional Qualifications Considered