Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
. The appointees will need to perform data analysis of clinical genomics, single cell RNA-sequencing and transcriptomics data analysis in different sarcomas. Publications related to clinical genomics study like
-
knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of clinical genomics, single cell RNA-sequencing and transcriptomics
-
-sci.hkust.edu.hk/) at the Hong Kong University of Science & Technology (HKUST) is seeking applications for multiple tenure-track and tenured positions in basic and translational research to address our mission in
-
, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell sequencing. Candidates must exhibit a strong command of written and spoken English, and
-
sequencing. Candidates must exhibit a strong command of written and spoken English, and effective communication skills. Additionally, they should display self-motivation, innovation, and the capacity to thrive
-
expertise in bioinformatics, and computational biology, with strong interests in translational research utilizing next-generation sequencing and single-cell sequencing to study liver cancer. Applicants should
-
initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
-
, Psychology or other related disciplines or an equivalent qualification; (b) have knowledge of conducting quantitative studies; and (c) be able to work independently and manage multiple tasks effectively
-
an outstanding publication record in high-impact peer-reviewed journals or top-tier conferences; (d) have strong analytical, programming, or experimental research capabilities aligned with the thematic focus
-
research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off