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. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry
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record in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, 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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Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points
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equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D
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, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and
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complexity tools for optimization problems involving geometric and algebraic objects such as points, vectors, linear spaces, and matrices. Qualifications and personal qualities Applicants must hold a master's
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) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written communication skills in English Desired qualifications: Experience with transformer models and
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, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We
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, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and