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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and numerical algorithms from linear algebra, statistics, optimization, machine learning, and AI, applying them to advance technology in fields like industrial automation, speech processing, digital
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, calculus, and linear algebra) and advanced courses in mathematics, statistics, and actuarial science for students majoring in actuarial science, applied mathematics, mathematics education, and other fields
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, elements of logic, linear algebra, discrete mathematics, computational geometry, and practical/teaching experience in this area. The knowledge of English is required. An additional advantage will be
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& Uncertainty Quantification Numerical Simulation & Multiscale Methods Numerical Linear and Multilinear Algebra High-Performance Computing Control and Optimization Computational Science & Engineering Applications
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with a solid knowledge of calculus, linear algebra, differential equations, numerical methods and scientific programming is required. Experience in Python, mathematical optimisation, analysis of dynamic
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East Stroudsburg University is hiring an Upward Bound Algebra Non-Credit Lecturer! Located in the beautiful Pocono Mountains of Pennsylvania, ESU’s proximity to New York City and Philadelphia
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coursework in probability theory, programming, and linear algebra. be able to read and write mathematical proofs and cryptographic analyses. be proficient in academic English. For directions 1 and 3, it is
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., calculus and linear algebra) • Teaching and supervising at the graduate level in the field of Mathematical Information in the Department of Mathematics, Graduate School of Science and Engineering
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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization
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competence in probability, linear algebra, and statistical modelling is essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential