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project), create a unique opportunity to apply machine learning and neural network methodologies, in conjunction with simplified ice sheet models, to advance understanding of ice sheet basal processes and
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samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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to self-teach, strong self-motivation and task management skills, strong public speaking/communication skills, flexibility and adaptability, Experience with liberal arts research. Preferred Skills
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focusing on the integration of machine learning, wafer-scale synthesis of materials. The role will contribute to the university's research mission by conducting fundamental research, helping secure external
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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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that increase the depth of knowledge. The Instructional Technologist will develop and implement asynchronous learning activities and sustained improvement on the use of instructional technology through a variety
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Number: 283456822 Laboratory Manager, Undergraduate Prototyping US-NY-Brooklyn Job ID: 2025-15191 Type: NYU Tandon School of Engineering (PE1001) # of Openings: 1 Category: Health Services New York
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applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves