320 parallel-processing-bioinformatics-"https:" Fellowship research jobs in Singapore
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal
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central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic
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discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories • Aspire
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate