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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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in the research group for Algebra at NTNU. About the project The position is part of the project “Monomorphism categories, finite abelian groups, nilpotent linear operators, and the Birkhoff problem
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of the project is to develop new theory and algorithms for massive datasets, with a particular focus on online algorithms related to numerical linear algebra. Key Responsibilities: The main duty of this position
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: Strong understanding of statistics, probability, optimization, and linear algebra. - Machine Learning: Deep learning, probabilistic modeling, generative models, etc. - Programming & Software Development
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machine learning frameworks. Proficiency in writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness
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development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness