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Systems, Statistics and Applied Statistics, Numerical Analysis, Probability, Algebraic Combinations and Discrete Mathematics, Real Analysis, Complex Analysis, Geometry, Optimization, and both Elementary and
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position at KTH will focus on optimizing security and performance in different control architectures. We will pursue control-oriented system/attacker modeling, multi-layer detection of cyberattacks, and game
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Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a Senior Staff Associate position in the area of magnetically confined plasma research
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- Knowledge of mathematical probability and statistics, and optimization methods - Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation - Knowledge
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representativeness - Knowledge of software engineering for AI applications - Knowledge of mathematical probability and statistics and optimization methods - Knowledge of machine learning including
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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collaboration and continuous improvement, the team leads initiatives that enhance clinical operations, optimize workflows, and strengthen data-driven decision-making. This role will play a critical part in
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of microbial communities. · Apply active learning strategies to optimize experimental design. · Integrate genetic and functional data using high-throughput experimental datasets. · Collaborate
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Optimal Transport for Optimization and Machine Learning School of Engineering Sciences at KTH Project description Third-cycle subject: Applied and computational mathematics The project focuses on applying
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31 Jan 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Economie et Statistique Research Field Mathematics History » History of science Researcher Profile First Stage