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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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program into a highly successful online subscription-based protocols journal • The transformation of its renowned print monograph series into two highly cited subscriptionbased online review journals
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, therefore, experience in working with animal models of disease is required. Knowledge of computational analyses of large data sets is necessary for the work. Supplemental Information How to Apply: If you are
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, molecular biology, CRISPR-based approaches, and mouse models is a plus. Supplemental Information How to Apply: Interested individuals within one year of having received their Ph.D. should send their CV, a
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-of-the-art high-performance computing (HPC) infrastructure. In this position, you'll leverage your expertise to support and manage CSHL's AI-driven compute cluster powered by NVIDIA H100 GPUs, empowering
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working at the intersection of systems and computational neuroscience. We record, analyze, and model neural population activity in the visual cortex of mice, to understand the mechanisms underlying sensory
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candidates should be highly motivated, have research skills with CRISPR functional genomics, disease animal models, flow cytometry or metabolomics analysis, and have effective communication skills as
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laboratory settings. Our lab, using this novel model system, seeks to pursue two complementary questions. First, how does the auditory system interact with the motor system to generate the sensorimotor loop
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). Communicates and builds strong collaborative relationships with key stakeholders. IT Operations Management: Adheres to best practice models to improve client services including ISO 20000 or ITIL4 practices
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outcome. The team uses a genetically engineered model of metastatic prostate cancer in a native, immune competent environment (see PMIDs: 24444712, 25829425 and 31092557). Recently, they developed whole