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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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are desirable. Curious, motivated and driven new graduates looking for a 2-3 years academic position to strengthen their scientific and technical background before applying for PhD or MD programs are encouraged
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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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and cutting-edge machine learning models. Our vision is to transform our understanding of gene regulation and unlock new frontiers in synthetic biology, drug discovery, and personalized medicine through
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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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behaviors. Genes that determine such behavioral differences, for example between the singing mouse and the lab mouse, must act via neural circuits within the brain. Yet, the structural and functional changes
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screens, focusing on the relationship between regulatory elements and gene expression. Train and develop sequence-based deep neural networks to predict gene expression outcomes. Document findings and
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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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, autism, and more. Our collaborative culture fuels innovation that improves human health—and philanthropy plays a vital role in powering this work. We’re looking for a Development Associate to join our
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the detection and treatment of many human diseases and the progress of agricultural science. In addition to research, the Laboratory has five divisions dedicated to aspects of science education and communication