Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- City of Hope
- Francis Crick Institute
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of Sydney
- Zintellect
- CRANFIELD UNIVERSITY
- Cranfield University
- Dana-Farber Cancer Institute (DFCI)
- Harvard University
- Monash University
- NTNU Norwegian University of Science and Technology
- Oden Institute for Computational Engineering and Sciences
- Queen's University Belfast;
- SUNY University at Buffalo
- The Francis Crick Institute
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF MELBOURNE
- University of Bergen
- University of California
- University of Idaho
- University of Michigan
- University of Michigan - Ann Arbor
- University of Nottingham
- University of Nottingham;
- 19 more »
- « less
-
Field
-
computing (HPC) resources. • Preparing scientific manuscripts, reports, and contributing to research grant applications. • Managing research projects, including coordinating study activities, timelines
-
-dimensional genomic datasets. Strong programming skills in Python and/or R, and experience with Linux/HPC computing environments. Experience with single-cell RNA-seq, single-nucleus RNA-seq, sc/snATAC-seq
-
of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
-
Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high-performance computing (HPC
-
datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems
-
pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
-
, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
-
with HPC (Linux, batch systems) and handling large simulation datasets (I/O, post-processing, analysis). Background in theoretical physics with at least basic knowledge of plasma physics and turbulence
-
team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific
-
, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications