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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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Field
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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of ultrafast light. This role is mostly experimental with some theory aspects. You will design and implement advanced time-resolved experiments involving home-built ultrafast laser spectroscopy, and will manage
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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theory, reinforcement learning, robotics and perception. You will investigate new algorithms and methods for robust and adaptive manipulation, including learning-based control for robotic systems and
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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• Ability to give and receive scientific criticism in a constructive manner • A positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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of the art (the project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project