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contribute to the development of cutting-edge AI models, fostering a unique integration of experimentation and computation. Additionally, you will collaborate with and support other scientists at CSHL
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Forecast short- and long-term cash needs with a high degree of accuracy, taking into account grant cycles, philanthropic revenue, capital projects, and program expenditures. Maintain and monitor daily
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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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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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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