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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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infection biology [essential] molecular biology, assay development lipidomics/metabolomics/transcriptomics [desirable] Analytical thinking, data analysis, and critical problem-solving skills. Commitment
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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
functional assays such as cytotoxicity assays, ELISPOT, ELISA and cytokine release assays. Design and execute experiments in mouse models and assess efficacy of therapeutics. Perform histological analysis
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
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analysis, or data science); a genuine enthusiasm for the ocean and marine sustainability challenges; a strong motivation to advance the field of environmental and natural resource economics; strong
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Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating