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Health Lab (the Lab), housed in the NYU Steinhardt School of Culture, Education and Human Development, seeks a Part-Time Researcher for a project assessing the behavior and neural impact of a dance
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: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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scientists to develop an independent research program. DRs will have access to the resources available at the LPC to make major contributions to CMS in the areas of physics analysis, object identification
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at the Research Assistant Professor level. Anticipated start date Autumn 2025 or Winter 2026. A successful candidate is expected to develop an independent research program. This position will use skills including
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
based to prepare students for careers in academics, research, government, industry, and medicine. State-of-the-art facilities support research across pharmacology and toxicology domains, with strengths in
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Diseases. Reporting to the Section Chair, the Data Science – CDM faculty are expected to develop, sustain, and lead an active, obvious, externally funded research program with outstanding scholarship and to
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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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reappointment anticipated based on funding and performance. Duties and responsibilities include the development of Lyapunov-based control methods for uncertain nonlinear control systems, especially based