173 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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discovery and energy applications. The role involves investigating the electronic structure and surface properties of energy-related materials, with a focus on catalytic interfaces, adsorption processes, and
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. Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance
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research Excellent communication skills (written and verbal) to liaise with internal and external stakeholders professionally Proficiency in data processing tools (e.g., Google Sheets, Excel) and office
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computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross-domain ventures. Key Responsibilities: Deliver international standards
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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platforms for diabetes, regenerative medicine and extracellular vesicles research. Responsibilities include microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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collaboration works. Participate in writing scientific publications and grants. Review and current of literatures. Collaborate with other team members, and supervise junior members. Assist in general operation of
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Expertise in survey designs, measurement and predictive modeling Proficiency in academic publications and presentations Responsibilities: Lead efforts in data management, processing and advanced statistical
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication