Sort by
Refine Your Search
-
of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences
-
applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in related areas.To be successful, the candidate must have a
-
beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables are required for the design of compact HTS magnets in a fusion pilot plant (FPP
-
limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
-
applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in related areas.To be successful, the candidate must have a
-
affordable and reliable HTS cables is critical for enabling next generation fusion magnets beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables
-
Professor level with a target starting date of September 1, 2026. The search is across the broad areas of Statistics and their applications in machine learning. The ORFE department is part of the School
-
engineering and the natural sciences who work on a wide range of topics in quantum information science. Future quantum technology requires physicists, chemists, engineers and computer scientists, working in