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management. This is a full-time on-site position located in Singapore. The successful candidate will be responsible for conducting research, performing data collection analysis, and contributing to academic
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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including Galleria mellonella and mice. The role will also involve using a range of molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful
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, pancreas pathology, and novel therapeutics, also in the context of the analysis of live pancreas tissue from organ donors obtained from the Network for Organ Donors with Diabetes (nPOD) , of which Dr
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Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research Publication track record must be good Proficiency in English - essential for data analysis and communication
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in traffic safety, urban transportation studies, traffic flow theory, operation research Publication track record must be good Proficiency in English - essential for data analysis and communication
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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
Biology, Immunology, Virology) Candidates will be evaluated on: proficiency in experimental design and execution, time management, data compilation and analysis, data management, and scientific writing