Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
on high-performance computing (HPC) facilities and adapt softwares to do so. Develop, benchmark, and troubleshoot new computational approaches, including implementing novel workflows, protocols, and
-
., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines . Build reproducible, well-tested, and automated workflows using
-
, project-based innovation, and specialist support come together. Among other things, the teams offer access to HPC and HTC environments, storage, processing and analysis capacity for large-scale datasets
-
Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
-
to support RNA-seq, single-cell, and spatial analyses; select and justify methods appropriate to each study design and dataset. · Operate effectively in high-performance computing (HPC) environments
-
theses with outstanding grades, excellence scholarships, academic recognitions, authorship of research articles and/or reviews in indexed journals within biomedical research). - Experience working in HPC
-
applications in either conventional (data center), high-performance computing {HPC), or cloud computing environments. Email to a Friend https://unmc.peopleadmin.com/postings/95230
-
computing environments for advanced research. B2 Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. Skills Essential: C1 Excellent written and verbal communication
-
in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
-
for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive