267 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions in Sweden
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that combine first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification methods for multiphase flow models Integrate
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biomarkers, pain estimation scales, and user experiences Scientific reporting and presentation including writing of scientific articles No departmental duties are planned for the position. You will be part of
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neutrons as probe Experience with beamtime application writing Expertise in complementary methods such as SOR, EC-XPS, ICP-MS, SERS, PM-IRRAS, etc. Experience in the use of high-vacuum systems and/or
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» Biochemistry Chemistry » Other Computer science » Informatics Computer science » Computer systems Computer science » Digital systems Medical sciences » Medicine Medical sciences » Other Researcher Profile First
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, we will identify optimal fast-charging parameters using data-driven optimization methods. (2) We will first design an optimal control strategy on laboratory three-electrode cells using anode potential
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biomarkers, pain estimation scales, and user experiences Scientific reporting and presentation including writing of scientific articles No departmental duties are planned for the position. You will be part of
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engaging in ongoing and future research projects in which research questions, empirical studies, and method development are shaped by real-world challenges across different application domains. The research
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. You will develop and apply machine-learning and AI-based methods for individual-level risk prediction and diagnostic classification, with a focus on disease-relevant neural signatures. In close
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technologies can be used to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods
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and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven