Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- National University of Singapore
- Nature Careers
- City of Hope
- University of British Columbia
- University of Nottingham
- Center for Biologics Evaluation and Research (CBER)
- Harvard University
- Instituto de Engenharia Mecânica
- Lawrence Berkeley National Laboratory
- Queen's University Belfast;
- Simula Research Laboratory
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of California
- University of Idaho
- University of North Carolina at Charlotte
- Vrije Universiteit Brussel
- Zintellect
- 10 more »
- « less
-
Field
-
postdoctoral position within the Q-VERSE EU project, which aims to provide a ready-to-use quantum software toolkit that supports various APIs and HPC interfaces in an open and transparent manner for Europe’s
-
or clinical datasets. Proficiency in Python and R, with strong experience in Linux/HPC environments and workflow automation. Track record of publications in high-impact journals and contributions to competitive
-
statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
-
Blindern, Oslo. Job description This PhD project aims to study the convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use
-
. Familiarity with public health challenges related to tuberculosis Familiarity with high-performance computing (HPC). About Working at the Crick Our values Everyone who works at the Crick has a valuable role to
-
experience in working with Linux HPCs · Experience in applying machine learning methods to genomics data analysis · Experience in navigating public databases and genomics data repositories
-
for accelerators, such as GPUs or FPGAs. Experience in refactoring or porting large codebases (over 100k source lines of code). Background in supporting scientific code on HPC systems or familiarity with components
-
structural analyses; setup of high-performance computing (HPC) and usage of grid generators; Study of key grid generator parameters; - Automatic Component Grid Generator: Development of a grid generator script
-
Python, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO/NCO). Should have strong quantitative and analytical skills in
-
cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge