46 parallel-computing-numerical-methods positions at Cold Spring Harbor Laboratory in United States
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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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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
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-throughput screening methods. Proficiency in data analysis and familiarity with computational tools and programming languages (e.g., Python, R). Excellent problem-solving skills and a passion for scientific
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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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. The successful candidate will become a member of a small, influential group recognized worldwide as a leader in creating and disseminating new methods in genetics education – including the fields of molecular
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methods development to instrumentation maintenance. In addition, Research Technicians will participate to lab meetings, scientific presentations, and journal clubs. Position Responsibilities The successful
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well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Position Requirements Applicants
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methods to interrogate the functional role of specific lncRNAs in pluripotency, differentiation, and disease. This knowledge will lead to new potential opportunities in regulating these processes
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with the City University of New York (CUNY), DNALC NYC is located on the City Tech campus, at the corner of Tillary and Adams Streets. The 17,500 square foot facility has six teaching labs, two computer
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responsibilities as needed. Position Requirements Education: A Bachelor’s degree is required; an advanced degree in law, business or computer science preferred. Skills and Experience: 1-4 years of relevant