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/21) Position Description: Apply Position Description Group Introduction The principal investigator is dedicated to research in various problems in several complex variables, complex geometry and
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[map ] Subject Areas: Numerical Analysis/Scientific Computing Appl Deadline: none (offers accepted posted 2025/04/18) Position Description: Apply Position Description The Department of Mathematical
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). To commence from September 1, 2025 to August 31, 2026. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, English language education, science, mathematics
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Towson University - Fisher College of Science and Mathematics | Suburb Maryland Fac, Maryland | United States | 2 months 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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Applications should include: Curriculum Vitae, including a description of the mathematical background of the candidate Cover letter Copies of relevant certificates Names, positions and addresses
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24 Months, Fixed-Term, Whole-Time Post Position Summary We invite applications for a Postdoctoral Researcher position in the field of Applied Mathematics (Dynamics of Adaptive Networks and Critical
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to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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for writing academic publications, including grant reports and publications. Required Qualifications • PhD in Mathematics, Engineering, or a related field with a background in statistical and mathematical
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques