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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-May-25 Location: Duluth, Minnesota Salary: 57,000.00 - 59,000.00 Categories: Academic/Faculty Mathematics
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. in Computational/Applied Mathematics or Computer Science. Degree must have been earned within 72 months prior to beginning of appointment. Required Experience Desirable Education and/or Experience
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Job Description The Opportunity The Department of Aerospace Engineering, at the Daytona Beach Campus seeks a post-doctoral researcher to develop novel mathematical and computational tools
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Towson University - Fisher College of Science and Mathematics | Suburb Maryland Fac, Maryland | United States | about 10 hours ago
. Qualifications: Candidates must possess a Ph.D. (or equivalent) in applied mathematics, or a closely related field, before August 15, 2025, and have research interests in applications of computational fluid
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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principles and construct instrumentation. Knowledge – Skills – Abilities Required knowledge: optics, light safety, mathematics, statistics, documentation, records management, data utilization, complex problem
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; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state