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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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to generate knowledge that will yield better diagnostics and treatments for cancer, neurological diseases and other major causes of human suffering. United by this mission, CSHL’s researchers and technicians
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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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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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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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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
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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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. doi: 10.3389/fcell.2022.986261. Position Requirements Candidates must have (or soon receive) a PhD degree. Experience in mouse embryonic stem cell culturing and differentiation, genomic analysis
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meetings and courses. This role involves learning and performing a range of tasks to ensure smooth operations. Position Responsibilities Computer hardware setup and maintenance Scientific software