Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, evolutionary, and phylogenomic analyses of ancient DNA datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC
-
also among the top 10 employers for women in the US: https://www.forbes.com/lists/best-employers-women/ St. Jude Children's Research Hospital is high school and college students' top "dream employer
-
AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 2 months ago
computational biology projects. A strong publication record, including one or more first author publications Experience using high performance computing systems Experience with the following are welcome
-
support environment. Familiarity with cloud-based computing environments, high-performance computing resources and genomic data management practices. APPLICATION : To ensure fullest consideration
-
Biology, Bio-AI, Drug Discovery, Bioinformatics, Synthetic Biology, Metabolomics (KIST Gangneung Branch) (25) High-Performance Fibers for Space (KIST Jeonbuk Branch) (26) Polymer
-
needed for future roles in STEM. The ICC is one of the leading international centres for research in computational cosmology and astrophysics. We deliver world-leading science using high-performance
-
science using high-performance computation, using it as a foundation to inspire future generations of scientists at all levels. The ICC's academic staff work across a range of research areas
-
management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably on a fixed weekly
-
Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience Competences Curiosity and critical thinking Rigor
-
to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR