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Position Summary: A one-year post-doc in Mathematics at Yeshiva College and Stern College for Women open to all areas, possibly renewable for a second year (the renewal is subject to budget approval
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Details Posted: 03-Apr-24 Location: Irvine, California Type: Full-time Salary: Open Categories: Academic/Faculty Physical Sciences Internal Number: 5150741 University of California Irvine Associate Researcher -- Rignot Group The Rignot research group in the Department of Earth System Science,...
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, Physics, Mathematics, or other related fields. Demonstrated ability to propose, initiate, and carry out ambitious data-intensive research projects. Self-motivated and works well both independently and as
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mathematics, statistics, applied physics, etc. Candidates with a professional doctoral degree (MD, PharmD, DNP, DDS, DO, etc.) are also welcome to apply if they have a demonstrated track record in the relevant
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/ Bachelor's or Master's degree in Oceanography/Physical Oceanography/ Marine Science/ Meteorology/Atmospheric sciences required. Applicants should have strong Physics, mathematical and computer programming
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(applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven
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candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science, Bioengineering, Biophysics, Biostatistics, Mathematics, Statistics, Electrical Engineering
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, work together, and measure success. Basic Qualifications: A BS or equivalent in computer science, mathematics, or a related field completed within the last 5 years Strong ML background and formal
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. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information
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. Developing software in Python and other modern programming languages Mathematical programming, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information