Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Harvard University
- National Aeronautics and Space Administration (NASA)
- Argonne
- Oak Ridge National Laboratory
- Aarhus University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Baylor College of Medicine
- Chalmers University of Technology
- Emory University
- Imperial College London
- Imperial College London;
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Extraterrestrial Physics, Garching
- McGill University
- Pennsylvania State University
- The Ohio State University
- The University of Arizona
- University of Liverpool
- University of Luxembourg
- University of Maryland, Baltimore
- University of Miami
- University of Oxford
- University of Reading
- 16 more »
- « less
-
Field
-
system science by offering a unique global perspective on clouds, precipitation, and the dynamics of the atmosphere. The launch of the joint ESA/JAXA Earth Cloud, Aerosol and Radiation Explorer (EarthCARE
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
cloud/serverless architectures (AWS SAM, Lambda, Amplify); experience with React or web and mobile application development; familiarity with GitHub; excellent project management and communication skills
-
with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization
-
sequencing data, whole-genome alignments, and assemblies is preferred. Candidates should be familiar with computational biology techniques and scientific programming. Prior experience with cloud and/or high
-
biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
-
at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
-
, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
-
. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.