Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
imaging High level analytical capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data
-
model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
-
Strategic Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: - Clean Technologies: Net zero innovation, sustainable energy, circular economy
-
of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
-
cell sorting, and next-generation sequencing library preparation. Bioinformatics and computer science expertise is a must. Excellent oral and written communication skills and the ability to perform both
-
based on exceptional scientific achievements and the submission of an innovative research proposal aligned with KAUST’s strategic priorities and the Vision 2030 of Saudi Arabia. Innovation
-
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
-
for completing complex research projects during their Ph.D and significant experience in standard laboratory techniques (next-generation sequencing (such as RNA-Seq, ATAC-Seq, etc.), flow cytometry, PCR, western
-
capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data would be an advantage Ability
-
expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data