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, Statistics, Physics, or a related quantitative discipline. You have demonstrated experience in mathematical modelling and or statistical analysis. You show a strong aptitude for research, supported by a sound
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(physics, math, bioinformatics, computing science) but to have a passion for programming and an interest in expanding their knowledge. The candidate is required to Have experience of a statically typed
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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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, the position of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 3 months ago
for teachers. The project builds on Numeralis, an adaptive screening instrument comprising cognitive and mathematics tasks. The project combines secondary data analysis, large-scale pupil screening
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courses at the level of developmental and introductory college mathematics, including, but not limited to: College Algebra, Precalculus, Trigonometry, Business Math, and Calculus. The successful candidate
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Apply now Job no:535292 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Math Department: CAS Mathematics Rank: Instructor Annual Basis: 9 Month Review of Applications
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Georgia Southern University, Department of Mathematical Sciences Position ID: GS-GSTTAP [#27385, 290975] Position Title: Position Location: Statesboro, Georgia 30460, United States of America [map
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scientific areas: Mathematics, Astroparticle Physics, Computer Science, and Regional Sciences and Economic Geography. The Mathematics area consists of 21 faculty members . The faculty’s research interests
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Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two