Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- United Kingdom
- Sweden
- France
- Spain
- Portugal
- Italy
- Netherlands
- Austria
- Denmark
- Estonia
- Japan
- United Arab Emirates
- Czech
- Switzerland
- Australia
- Belgium
- Canada
- Latvia
- Luxembourg
- New Zealand
- Norway
- Poland
- Saudi Arabia
- Vietnam
- Croatia
- Cyprus
- Greece
- Hong Kong
- Israel
- Lithuania
- Morocco
- 23 more »
- « less
-
Program
-
Field
-
(Linux, HPC clusters). 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career of the candidate. 9. Scientific and curricular career
-
(HPC). • Experience with machine learning and network biology. • Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit
-
theorists. The overview of KMI and members can be found at http://www.kmi.nagoya-u.ac.jp/ ; Requirements: A PhD (or close to completion) in physics or related disciplines, such as astronomy, computer science
-
in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
-
is for a Medical Laboratory Scientist I within the Cell Therapy Lab at UAMS. This position is responsible for processing, freezing, and storing hematopoietic progenitor cells (HPC), as
-
) System Administration, coding (Python, Bash, SQL, etc.), virtualization, large-scale storage systems, HPC, lab machine administration, web server administration, procurement, research computing
-
this research, the faculty member will have access to the University of Alabama’s state-of-the-art High-Performance Computing (HPC) cluster. This resource provides the computational power necessary
-
-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS physics analyses Develop
-
Synthesizing and presenting research both internally and externally Technical environment: Linux/HPC, Python, R, and shell scripting. Familiarity with version control (Git/GitHub) expected. Strong applicants
-
solutions for HPC, cloud-based research platforms, and large-scale data management. Research Data Lifecycle and FAIR Principles: Deep understanding of research data management, open science, and compliance