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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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Position Description The Koo Lab at the Simons Center for Quantitative Biology (SCQB) at Cold Spring Harbor Laboratory (CSHL) is seeking a Computational Science Analyst to support large-scale
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Laboratory, NY. We are looking for a post-doc broadly interested in studying biological information processing from an algorithmic perspective. The goal is to discover new ideas for computation by studying
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and understand neural circuit architecture in whole brains. The successful candidate should be comfortable working in a Linux environment and distributed/networked computation, and be able
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to optimize computational workloads, data movement, and parallel processing. Trains scientists on using the cluster effectively for AI workloads. Optimizes, deploys, and maintains robust software to support
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massively parallel reporter assays (MPRAs) and CRISPR interference (CRISPRi), to investigate the regulatory genomic elements (enhancers and promoters) that control gene expression across various cell types
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when necessary. Collect and sort incoming mail and packages; distribute them across departments. Weigh, address, and apply postage to outgoing mail using automated or manual processes. Deliver outgoing
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of the electronic Newsletter as directed. Collect info and write first drafts (CSHL uses Salesforce to create and distribute the newsletter) Media Relations • Create and build relationships with key journalists
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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experiments, including: Massively parallel reporter assays (MPRAs) Protein deep mutational scanning (DMS) assays CRISPR interference (CRISPRi) screens Genomic base-editing screens These experiments will be