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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
standard operating procedures for assays and routine methodologies for tech transfer to GMP operations Analyzing data and creating graphs using appropriate software (e.g., SoftMax Pro, Excel, Prism) and data
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: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
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of the detector upgrade. The LPC is also a major hub for Machine Learning developments for particle physics. There is close and frequent collaboration with the Fermilab theory community. The LPC provides
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scientific software (Excel, Word, PowerPoint, Adobe Illustrator/Photoshop, Graph pad Prism); demonstrate the ability to work independently and contribute to a team environment; help to create and maintain a
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experience working with rodents in the field of microbiome, molecular biology and cell culture; knowledge of microbiology, chemistry, mathematics, statistics, documentation, records management, data
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Mathematics at the University of Miami is seeking outstanding candidates to fill a Research
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(e.g., PhD, EdD) in education or other relevant discipline and demonstrate excellence in teaching and mentorship at the graduate level. Experience and expertise in health professions education theory and
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Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of