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printers to fabricate and test structural components. A major focus will also be on the computational modeling and finite element simulation of UHPC and 3D printed structural components. The candidate will
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, flood risk and vulnerability analysis, and spatial modeling to work with diverse local and global databases to analyze and communicate urban climate change risks. This position will work closely with
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elements in the foundry may insert malicious circuits (hardware Trojans) into the design without the designer's knowledge. Because of these and similar hardware-based attacks, the semiconductor industry
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analysis of oral cancer specimens. Applicants need not have experience in all areas, as expertise is available in our group. We encourage postdoctoral fellows to broaden their skills and experience during
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· Computational and numerical analysis of complex data sets to evaluate the neural representation of information in the physiological recordings above. · Collaboration with the research team to integrate
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modeling and risk assessment. This role requires expertise in ML model development, geospatial analysis, and environmental data processing. Responsibilities Design and optimize machine learning models (LSTM
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Department of NYU is looking for a talented post-doctoral associate to develop transition metal catalysts for organic synthesis starting in the Fall 2025. Successful applicants will be highly motivated with
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printing, soil-structure interaction, centrifuge testing, etc. is a plus. Other preferred qualifications include: expertise in laboratory and multi-scale experimental testing (at material, component, and
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University. The role of the NYU postdoc will be to develop and implement new subgrid-scale parameterizations and to assess the accuracy of existing parameterizations in the ocean component (MOM6) of CM4
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not limited to) geospatial and statistical analysis, large language models, and machine learning. The position does not require teaching, but it may be possible to get teaching experience