175 parallel-processing-bioinformatics research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably bachelor's degree in Computer Engineering, Computer
-
Responsibilities: Study and analyze dataflow patterns in emerging data-intensive applications. Design and develop parallel file systems for node-local NVMe. Evaluate the performance implications of alternative
-
the Asian School of the Environment (ASE) and the Earth Observatory of Singapore (EOS) to push forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes
-
to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
-
organoid models for experimental use. Process and handle human biospecimens (e.g., nasal brushes, tissue biopsies) in compliance with institutional biosafety and ethical standards. Design and perform
-
, early life antibiotic use, ultra-processed foods, and microbiome changes. The research team also develops machine learning models to predict cancer risk from longitudinal medical data. For more details
-
: Design, plan, and execute experiments involving NGS, including sample preparation, sequencing runs, and data analysis. Apply bioinformatics tools and software for the analysis and interpretation of NGS
-
. Bachelor of Science in Chemistry Advanced knowledge of bioinformatics tools and packages, including experience in processing and analysing high-throughput sequencing data. Highly proficient in R, Python, and
-
-motivation skills Strong foundation in CFD with proficiency in Python and AI/ML techniques, and additional experience in parallel computing tools such as CUDA and MPI Experienced with CFD simulation tools (e.g
-
digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior