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optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware
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work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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. Your work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements
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machine control theory Programming in MATLAB, Python, C++ Working knowledge of optimization theory Knowledge of vector calculus and linear algebra The candidate should submit a research proposal for the
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Learning and Deep Learning Development skills in MATLAB/Python/C++ are required Exposure to the latest signal processing techniques, linear algebra, and deep learning is desirable Experience with hardware
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linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong
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, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC
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several scientific fields and a multitude of educations ranked highly in international comparisons, is looking for a doctoral student to work on a compiler for linear algebra expressions. The Department