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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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background in addition to a good background in mathematical analysis. The project interacts with several areas of mathematics: computational harmonic analysis, approximation theory, orthogonal polynomials
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Mathematics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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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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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
: 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