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data, which will aid clinicians, or other users, to graph and statistically analyze results. For this you will develop and refine techniques taking advantage of apps, intelligent agents, AI assistants
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or actuarial mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. The duties primarily involve research and teaching within
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collaboration to advance digital transformation in the ACE sector. In this project, you will study the dynamics of digital transformation through perspectives from organizational theory, strategy research and
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Research Infrastructure? No Offer Description This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration
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This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration with researchers at Chalmers and the
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Statistics, where we currently have around 25 employees. The research is conducted in the areas of probability theory, stochastic processes, statistical theory, statistical signal processing, financial
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adaptation, emission reduction targets, and equity considerations. The methodological approach will combine theory-driven and data-driven modeling with an aim to construct AI systems grounded in behavioral
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of scientific theory and relevant research methodology - scientific analysis and presentation verified through an academic paper, degree project, scientific journals or the like. Documented experience in
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and functions of different actors within organisations. Through reflective and critical approaches, current empirical phenomena are explored, contributing to the development of theories and perspectives
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theory, control theory as well as scientific programming skills. Proficient skills in written and oral communication in English. Ability to work independently as well as in a team. Place of employment