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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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Center for Computational Cognitive Neuro-Psychiatry (CCNP; https://ccnp.princeton.edu/about-ccnp/ ), including through an NIH-funded center on Latent Cause Inference (https://lci-conte.pni.princeton.edu
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to test system performance Knowledge, Skills, and Abilities Computer skills sufficient to work with locally-written MatLab software and commercial software for data acquisition and interpretation
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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, western blot, qPCR, IHC, ELISA Required License/Registration/Certification N/A Physical Requirements ☐Sitting at computer work station for long periods of time ☒Standing for long periods of time ☐Risk of