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expertise in mathematics, biometry, bioinformatics and data science, together with agribusiness, actuarial science, geographical information systems, farming systems and plant pathology. We have strong
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Bioinformatics will be desirable. It will be highly desirable for the candidate to have experience working in a research lab. Knowledge of molecular and cellular biology techniques will be desirable. Previous
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techniques are considered an asset. Experience with bioinformatics approaches to biological data and familiarity with the handling of genomics and next-generation sequencing data will be an advantage
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-seq, GRO-seq, and RNA-seq. CRISPR genetic engineering. Rapid protein degradation using Degron system. Bioinformatics. Cardiac functional analyses. Mouse genetics. Lentivirus transduction. Cell culture
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches