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into their professional development. Learning Objectives: This research fellow will gain experience in bioinformatics and computational biology, with the focus on arthropod genomics and genetics. The fellow will learn
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Summary To perform scientific research, specifically research activities related to X-ray crystallography and bioinformatic analysis of proteins and to report results ready for publication and/or use
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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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for performing advanced molecular biology techniques including nucleic acid extraction, PCR, and next-generation sequencing (NGS). The role requires a working knowledge of bioinformatics for data analysis
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. Desirable: D1. Skills in multiple biochemical and cell-biology techniques (cell fractionation, immunoprecipitation, growth assays, enzyme activity assays). D2. Skills with bioinformatic analyses (e.g
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helping to train junior students, as well as presenting findings in internal meetings. Ideally, they also bring: experience with bioinformatic tools or genomic annotation, exposure to neuroscience
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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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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development
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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development
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grant applications. They are enthusiastic about learning and helping to train junior students, as well as presenting findings in internal meetings. Ideally, they also bring: experience with bioinformatic