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Primary Work Address: 77 Massachusetts Avenue, Cambridge, MA, 02139 Current HHMI Employees, click here to apply via your Workday account. About the Lab: We are seeking a Postdoctoral Scientist to
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scholarly independence. Candidates with strong backgrounds in Operations Research, Machine Learning, Data Science, Computer Science, Economics, or related fields are encouraged to apply. In compliance with
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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weak gravitational lensing, galaxy clusters, or large-scale structure. Experience with cosmological simulations and machine learning is highly desirable. Postdoctoral associate in exoplanet atmospheres
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software