Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Dana-Farber Cancer Institute (DFCI)
- Yale University
- City St George's, University of London
- City University London
- European Space Agency
- Lawrence Livermore National Laboratory
- McGill University
- NYU Langone Health, Skok Lab
- National University of Singapore
- Stanford University
- The University of Arizona
- University of California, Berkeley
- University of Idaho
- University of Luxembourg
- University of Utah
- University of Washington
- 6 more »
- « less
-
Field
-
and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. CQT is hosted by the
-
Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
-
Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
-
in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
-
collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical
-
model integration within the game's cloud infrastructure. Qualifications ● PhD in machine learning, computer science, computational neuroscience, statistics, or a related discipline. ● Proficiency in
-
Qualifications High-performance or cloud computing experience. Experience with large data sets, including spatial data, administrative data, or consumer data. Benefits Yale offers an excellent and
-
using Snakemake, Nextflow, or similar platforms. • HPC or cloud computing environments. • Long-read or single-molecule sequencing, computational epigenomics, and/or 3D genome analysis. • Statistical
-
, R) and geospatial tools (e.g., ArcGIS, QGIS ), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a
-
with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical