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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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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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. The scolarship holder will join and support our team with some of the following tasks: a) Develop efficient HPC algorithms for estimating varying (in time and 3D space) ionospheric electrodynamics using
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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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» 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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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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modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial Intelligence (AI). For more info, please visit link . LUCI is well-established, with an extensive group
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parameters—including additive manufacturing—to component-level behavior and overall engine system performance using state-of-the-art MBSE methods and tools. Particular attention will be given to how