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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable
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(PEM), and focused ion beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge
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field, complemented by several years of post-doctoral research experience. Candidates must demonstrate a strong commitment to research and teaching. A solid track record in research excellence is
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track record who are motivated to shape AI-native software engineering. AI-Native Software Engineering Researcher As an AI-Native Software Engineering Researcher, you will focus on conducting research in
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track record who are motivated to shape AI-native software engineering. AI-Native Software Engineering Researcher As an AI-Native Software Engineering Researcher, you will focus on conducting research in
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track record who are motivated to shape AI-native software engineering. AI-Native Software Engineering Researcher As an AI-Native Software Engineering Researcher, you will focus on conducting research in
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track record who are motivated to shape AI-native software engineering. AI-Native Software Engineering Researcher As an AI-Native Software Engineering Researcher, you will focus on conducting research in
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track, benefits-eligible research positions in the Alfred E. Mann Department of Biomedical Engineering (https://bme.usc.edu/( opens in new window) ). All candidates are expected to have a strong