Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Dana-Farber Cancer Institute (DFCI)
- Technical University of Denmark
- University of Luxembourg
- Yale University
- Lawrence Livermore National Laboratory
- Linköping University
- NYU Langone Health, Skok Lab
- Stanford University
- The University of Arizona
- University of California, Berkeley
- University of Idaho
- University of Lund
- University of Utah
- University of Washington
- 4 more »
- « less
-
Field
-
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
-
. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
-
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
-
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
-
model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
-
Scientific Computing (CASC) Division within the LLNL Computing Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home
-
, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud). An interest in learning
-
. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready