Sort by
Refine Your Search
-
Category
-
Field
-
sustainability. For more details, please view https://www.ntu.edu.sg/ase . We are looking for a Research Fellow to carry out bioinformatic analysis of marine metagenomes from Singapore. The role will focus
-
. We are looking for a Research Assistant to implement AI-based bioinformatics in proteomics. The role will focus on applying machine-learning in unraveling dark proteome and harmonization of existing
-
Professor Joanne Ngeow. The Senior Research Fellow, Bioinformatics will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition
-
Assistant will take on a significant role in contributing to the computational chemical biology research. Key Responsibilities: Establish the bioinformatics platform Acquire proficiency in discipline-specific
-
to cutting-edge research in metabolic diseases, including obesity, chronic liver disease, and cancer metabolism. By leveraging animal disease models and bioinformatics approaches, our lab aims to unravel
-
calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with
-
Familiarity with research methodologies and ethical guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational
-
, insect identification, etc. Candidate should possess basic molecular taxonomy skills, such as DNA extraction, PCR, running gels, bioinformatics, etc. Candidate must be organized and meticulous to curate
-
collaboratively in a fast-paced environment Prior research experience in neuroscience preferred RCULA certification preferred Prior research experience with bioinformatics is advantageous Hiring Institution: LKC
-
to independently acquire skills related but not limited to: next generation sequencing (particularly methylation analysis), population (epi)genetics, statistics and bioinformatics, high dimensional data analysis