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*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project
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CRISPR Perform wet-lab experiments on RNA editing and the ADAR enzymes Analyze data and prepare reports and presentations Write and publish high-impact journal papers Guide graduate and undergraduate
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to
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global fluidity, viscosity, crowding. Execute biophysical/biochemistry/molecular biology experiments and perform data analysis. Ensure effective communications among group members. Ensuring effective team
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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instability and altered RNA metabolism in ALS. This involves close collaboration with interdisciplinary teams, including experimental biologists and computational data scientists, to design and execute
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of Medicine. It
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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean